Innovations in Cardio-Oncology
Artificial Intelligence, Digital Health, and Precision Medicine
- 1st Edition - June 6, 2025
- Imprint: Academic Press
- Editor: Sherry-Ann Brown
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 2 9 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 3 0 - 1
Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine reviews the benefits of biomedical technologies and advancements in indivi… Read more
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Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine reviews the benefits of biomedical technologies and advancements in individualized medicine, with applications in cardio-oncology.
Illustrations of work involving machine learning and natural language processing help readers understand and maximize the benefits of artificial intelligence (AI) algorithms, with integration of AI and digital health technologies into the clinical workflow for personalized patient care, research, and provider and patient education.
In 31 chapters, Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces the emergent medical field at the interface of cardiology and oncology, “cardio-oncology”, and describes prevention, screening and surveillance, followed by several chapters on the role of the applications of digital health, telemedicine, and AI in cardio-oncology precision care. The book also highlights many medical society guidelines and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book anticipates that AI algorithms and innovative health tools have the potential to address, and does not have to widen, the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, health insurance status, linguistic and cultural barriers, systemic discrimination, and healthcare access.
This book provides valuable practical guidance for healthcare professionals, scientists, learners, and patients to integrate digital health platforms into their clinical practice, research, and patient engagement models, fit for individual use and also for multi-stakeholder groups from academia, technology, and industry, with shared interests in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.
Illustrations of work involving machine learning and natural language processing help readers understand and maximize the benefits of artificial intelligence (AI) algorithms, with integration of AI and digital health technologies into the clinical workflow for personalized patient care, research, and provider and patient education.
In 31 chapters, Innovations in Cardio-Oncology: Artificial Intelligence, Digital Health, and Precision Medicine introduces the emergent medical field at the interface of cardiology and oncology, “cardio-oncology”, and describes prevention, screening and surveillance, followed by several chapters on the role of the applications of digital health, telemedicine, and AI in cardio-oncology precision care. The book also highlights many medical society guidelines and evidence-based recommended pathways for equitable digital health deployment and utilization in cardio-oncology care. This book anticipates that AI algorithms and innovative health tools have the potential to address, and does not have to widen, the already existing healthcare disparities, including inequalities related to race, ethnicity, gender, socioeconomic level, health insurance status, linguistic and cultural barriers, systemic discrimination, and healthcare access.
This book provides valuable practical guidance for healthcare professionals, scientists, learners, and patients to integrate digital health platforms into their clinical practice, research, and patient engagement models, fit for individual use and also for multi-stakeholder groups from academia, technology, and industry, with shared interests in applying Innovation (Digital Health, mHealth, Telemedicine, Telehealth, Informatics, Precision Health, Computational Medicine, Social Media, Artificial Intelligence including Machine Learning, Deep Learning, Natural Language Processing, and Neural Networks, & more) to Cardiology and Oncology clinical practice, research, and education.
• Addresses cardiovascular complications from cancer treatment with greater precision and individualization due to advances in personalized medicine, AI, including machine learning.
• Presents successful methods and tools for preventing and managing cardiovascular disease in cancer patients.
• Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology.
• Includes insights and reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues, among a variety of other innovators, including applications of AI and informatics in Cardiology, Oncology, and especially Cardio-Oncology.
• Presents successful methods and tools for preventing and managing cardiovascular disease in cancer patients.
• Provides solidified practical best practices relating to innovation technologies and precision in Cardio-Oncology.
• Includes insights and reports on various collaborative projects from the Cardiology Oncology Innovation Network (COIN) network members and colleagues, among a variety of other innovators, including applications of AI and informatics in Cardiology, Oncology, and especially Cardio-Oncology.
Researchers and health care professionals in oncology and cardiology, and especially cardio-oncology physicians, nurses, advanced practice providers, pharmacists, and other health professionals, as well as scientists/researchers in innovation, particularly those in artificial intelligence, digital health, and precision medicine
Contributors
About the editor
Foreword
Preface
Acknowledgments
Cancer & the heart: The inevitable dance
CHAPTER 1: Introduction to cardio-oncology
Alan H. Baik, Brenton Bauer and Craig J. Beavers
Introduction
Current applications/practice
Cardiovascular risk across the spectrum of cancer and cardiovascular disease
Specific considerations in cardio-oncology
Traditional chemotherapy
Targeted therapies
Immunotherapy
Radiotherapy
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 2: Innovation tools and technologies in cardio-oncology
Unwam E. Jumbo, Cameron Otto, John Rickards, James MacLeod, Jessica Olson, and Sherry-Ann Brown
Introduction
Revolutionizing patient care: Digitalization and artificial intelligence in cardio-oncology
Bridging cardio-oncology disparities through digitalization
Information sharing
Education and learning
Tools for digitalizing cardio-oncological processes
The role of telehealth
The role of artificial intelligence
The role of precision medicine
The role of informatics
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 3: The place of cardio-oncology in oncology
Vivek Agarwala, Nibedita Sen, Susan Dent, Aruni Ghose, Elexis B. Price, John Rickards, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Rationale for cardio-oncology
Terminologies
Reverse cardio-oncology
Concept of bi-directional cardio-oncology
The neurohormonal hypothesis
The “inflammatory milieu” hypothesis
Role of cardio-oncology in radiation oncology
Cardio-oncology in medical oncology
Anthracyclines mediated cardiac injury
Harnessing the cardiotoxic effects of HER2 therapy
Fluoropyrimidines (e.g., fluorouracil and capecitabine)
Taxanes
Tyrosine kinase inhibitors
Vascular endothelial growth factor signaling pathway inhibitors
Immune checkpoint inhibitors
Hormonal agents
Novel agents
Cardio-oncology in hematological malignancies and transplant
Myeloma drugs
Role of cardio-oncology in surgical oncology
Current cardio-oncology applications
Baseline cardiovascular risk assessment before starting cancer treatment
Cardioprotective strategies
Concept of permissive cardiotoxicity
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 4: Prevention, screening, and surveillance in cardio-oncology
Alexi Vasbinder, Hugo Martinez, and Michelle Bloom
Introduction
Cardiovascular risk assessment and screening
Traditional cardiovascular risk factors
Cancer treatments
Cardiac imaging and other cardiac testing
Cardiac biomarkers
Clinical risk scores
Screening guidelines
Surveillance strategies during and after cancer treatment
Monitoring guidelines during cancer therapy
Surveillance after completing cancer therapy
The role of prevention in cardio-oncology
Patient-related risk modification and prevention in cardio-oncology
Cancer therapy-related risk modification and prevention in cardio-oncology
Cardiovascular pharmacology approaches to prevent cancer treatment-related LV dysfunction
Other considerations for prevention in patients with cancer
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 5: Innovations in pediatric cardio-oncology
Neha Bansal, Heang Lim, and Steven E. Lipshultz
Introduction
Chemotherapeutic agents associated with cardiotoxicity
Radiation therapy-associated cardiotoxicity
Effects of cardiotoxicity
Genetic associations
Risk factors
Dexrazoxane
Current applications in pediatric cardio-oncology
Cardiac monitoring of survivors
Serum cardiac biomarkers
Management of cardiotoxicity
Transition of care from pediatric to adult care
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 6: Cardio-oncology in the digital era
Ibrahim El-Mais, Ragasnehith Maddula, Xiangkun Cao, and Paul Nona
Introduction
Rise of digital health in the Coronavirus pandemic
Digitization of healthcare: Artificial intelligence, big data, wearables, genomics
Artificial intelligence
Current applications/practice
Wearable devices
Personalized medicine
Genomics
Healthcare disparities
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 7: Principles of telehealth and telemedicine in cardio-oncology
Ahmed Saleh, Paul Nona, Elexis B. Price, John Rickards, and Efstathia Andrikopoulou
Introduction
Development of telehealth in cardio-oncology
Framework of telehealth in cardio-oncology
Current applications of telehealth in cardio-oncology clinics
Remote patient monitoring and mobile health tools
Atrial fibrillation and arrhythmias
Heart failure and pulmonary hypertension
Management of cardiovascular risk factors
Cardiovascular rehabilitation
Applications of artificial intelligence to telehealth
Artificial intelligence in telehealth
Artificial intelligence in remote patient monitoring
Artificial intelligence in mobile health tools and ECG interpretation
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 8: Advent of mHealth applications in cardio-oncology
Brock Malatches, Efstathia Andrikopoulou, and Paul Nona
Introduction
Digitization of healthcare & rise of mHealth
Advantages of mHealth
Increased access
Cost reduction
Personalized medicine
Patient empowerment
Barriers and challenges to implementing mHealth
Lack of evidence and research
Reliability of consumer devices
Data security and privacy concerns
Data volume
Clinical integration and related costs
Special populations
Reimbursement
Current applications/practice of mHealth in cardio-oncology
Mobile applications
Mobile devices/wearables
Future of mHealth in cardio-oncology
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Glossary
References
CHAPTER 9: Artificial intelligence in cardio-oncology: Machine learning, deep learning, and natural language processing
Lichy Han, Kirsten R. Steffner, and Louise Y. Sun
Introduction
Machine learning
Deep learning
Natural language processing
Current applications/practice
Risk stratification and outcome prediction
Clinical decision support
Chemoinformatics and computational toxicology
Precision medicine
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 10: AI/ECG in cardio-oncology
Ekenedilichukwu Nnadi, Cameron Otto, Abdulaziz Hamid, Annabelle Santos Volgman, and Sherry-Ann Brown
Introduction
Application of electrocardiogram in the detection of cardiotoxicities
Artificial intelligence to screen for left ventricular systolic function
Artificial intelligence to screen for right ventricular size and function
Artificial intelligence to screen for arrhythmias
Risk prediction and integration with clinical variables
AI electrocardiogram signal processing for improving diagnostic quality and accuracy
Integration of electrocardiogram data with other imaging modalities in cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 11: AI-imaging in cardio-oncology
Hibba Kurdi, David Gent, Juma R. Bin Firos, Michel Chedid El Helou, Elexis B. Price, John Rickards, Patrick Collier, Arjun K. Ghosh, Robin Reinke Cullinane, and Sherry-Ann Brown
Introduction
Artificial intelligence in cardio-oncology imaging
Echocardiography
Cardiovascular magnetic resonance imaging
Cardiac computed tomography
Nuclear cardiology
Current applications of artificial intelligence-imaging in cardio-oncology
Echocardiography
Cardiac magnetic resonance
Cardiac computed tomography
Nuclear imaging
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 12: Artificial intelligence in echocardiography
Alex Byrne, Rhys Gray, John Rickards, Elexis B. Price, Marielle Scherrer-Crosbie, Juan Lopez-Mattei, and Arjun K. Ghosh
Introduction
Artificial intelligence in cardio-oncology echocardiography
Image acquisition
View identification
Image segmentation and automatic measurement
Interpretation
Current applications/practice in cardio-oncology
Enhancing report accuracy
Reduce variability between scans
Supporting the workforce
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 13: Artificial intelligence at the point-of-care in cardio-oncology
Jia Guo and Jeanne M. DeCara
Abbreviations
Introduction
Artificial intelligence at the point-of-care: Transforming echocardiography
Artificial intelligence at the point-of-care: Revolutionizing electrocardiography and wearables
Artificial intelligence at the point-of-care: Enhancing disease detection
Artificial intelligence at the point-of-care: Monitoring hypertension
Multimodal use of point-of-care devices in the ambulatory setting
Current applications of point-of-care devices in clinical practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 14: Precision health and medicine in cardio-oncology
Joshua G. Lee and Louise Y. Sun
Introduction
Advances in cardio-oncology
Precision medicine in cardio-oncology
Omics approaches in precision cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 15: Integrated multiomics & systems medicine approach in precision cardio-oncology
Chibuike Charles Agwuegbo, Olayiwola Bolaji, John Rickards, Gabrielle Mbagwu, and Sherry-Ann Brown
Introduction
Cardiovascular risk in cancer survivors
Precision and systems medicine approaches to cardio-oncology
Omics: Definition of terms
Omics-based biomarkers for cardiotoxicity
Genomics
Genetic variants in doxorubicin exporters: Balancing risk and protection
SNPs as predictive biomarkers: Balancing sensitivity and specificity
Addressing the lack of diversity in genomics studies
The future of genomics in cardio-oncology: Opportunities and challenges
Transcriptomics
Proteomics
Micrornaomics
miRNA utility in cardio-oncology
Epigenomics/methylomics
Risk factors for methylation
Integration of omics
Current applications/practice
Workflow of an integrated approach to predicting cardiovascular disease in cardio-oncology
P*3 approach to workflow: Precision, predictive, and personalized medicine
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 16: Network medicine in precision cardio-oncology
Michelle Z. Fang, John Rickards, and Feixiong Cheng
Introduction
Network proximity algorithm
Network-based algorithm
Define disease modules
Current applications/practice
Future directions/predictions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 17: Computational medicine and patient avatars in cardio-oncology
Endurance Evbayekha, Stanley Moore, Robin Reinke Cullinane, Quynlan Duffy, John Rickards, Louise Y. Sun, and Sherry-Ann Brown
Introduction
Key concepts
Building SuperModels: Emerging patient avatars for use in precision cardio-oncology
Building SuperModels and components of SuperModels
Big data modeling for precision medicine
Digital twins in cardio-oncology
Principles for developing patient avatars in precision cardio-oncology
Health Avatar Platform architecture and data communication
Patient similarity in cardio-oncology
Real-world patient experience and opinion of avatars
Challenges
Opportunities
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 18: The role of informatics in cardio-oncology
Elizabeth Hutchins, Ashley F. Stein-Merlob, Eric H. Yang, Mahmoud Eljalby, and Vlad G. Zaha
Introduction
Current applications/practice
Health informatics
Electronic health record (EHR) informatics tools
Data analytics in cardio-oncology research
Data analytic methods and their use in cardio-oncology
Future predictions/directions
Expanded data sources
Increased computing power
Advanced analytic tools
Increased interdisciplinary collaboration
Expanded access to care
Policy and ethical considerations
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 19: Management of big data in cardio-oncology
Sumanth Khadke, Ashish Kumar, Yixin Kong, Sourbha S. Dani, and Sarju Ganatra
Introduction
Sources of big data
Administrative claims databases
Electronic health record (EHR) derived databases
Cancer registries
Population-level databases
Molecular data
Data from wearables and sensors and imaging
Data management and integration
Building big data platforms for cardio-oncology
Data curation, harmonization, and interoperability
Ensuring data quality and handling missing data
Data security and privacy considerations
Analytic approaches
Propensity score methods
Machine learning and artificial intelligence
Systems biology and multiomics integration
Digital phenotyping
Visualization techniques
Survival analysis
Estimating causal effects
Sensitivity analysis
Translational applications
Risk prediction and clinical decision support
Drug safety surveillance and pharmacovigilance
Precision cardio-oncology
Population health management
Big data in addressing SDOH and climate change
Big data, challenges, and policy limitations
Methodological limitations and potential biases
Ethical and legal issues
Need for collaborative initiatives and data sharing
Policy limitations
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Author contributions
References
CHAPTER 20: Innovations in cardio-oncology research
Nikitha Vobugari, Madhuri Chengappa, John Rickards, and Anne Blaes
Introduction
Enhancing cardiotoxicity mitigation: Personalizing cancer therapies
Chemotherapeutics optimization
Radiation therapies optimization
Unknown cardiotoxicity with de-escalation strategies
Predictive modeling and risk assessment tools
Baseline cardiovascular risk assessment models
Artificial intelligence research in cardiotoxicity prediction
Feasibility of risk model applications in clinical practice
Evolving biomarkers
Wearable devices in healthcare monitoring
Use of wearable devices in oncology
Challenges to the use of wearables
Ongoing research in cardioprotective medications and evolving sodium-glucose cotransporter two inhibitors
Sodium-glucose cotransporter two inhibitors
The molecular mechanisms of the cardioprotective effects
Clinical evidence supporting the cardioprotective effects of sodium-glucose cotransporter two inhibitors
Current therapeutics in cardio-oncology
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 21: Innovations in cardio-oncology community engagement
Vivek Agarwala, Pritam Kumar Sardar, John Rickards, Susan Dent, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Community engagement and impact of innovations in cardio-oncology
Historical context
Patient engagement
Current applications/practice
Collaboration in cardio-oncology
Collaboration with science and technologies
Innovation in atrial fibrillation and arrhythmias prevention
Innovation in heart failure/pulmonary hypertension management
Consultation in cardio-oncology
Communication in cardio-oncology
Effect of COVID-19 on innovations in cardio-oncology
Role of social media in community engagement in a post-COVID era
Disparities in cardio-oncology
Training, education, and research in cardio-oncology
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Disclosures
Financial
Non-financial
Further reading
References
CHAPTER 22: Innovative partnerships in academia, technology, and industry in cardio-oncology
Gift Chiechekam Echefu, Ekenedilichukwu Nnadi, Asra Khalid Butt, and Sherry-Ann Brown
Introduction
Connected health innovative programs
The multidisciplinary team care approach in cardio-oncology
Academic and industry collaborations and partnerships
Innovation in research partnerships and principles for successful interdisciplinary teams
Foundational structure of an interdisciplinary research team
Team leader
Communication
Team building
Funding
Team training
Indicators of successful performance
Opportunities and challenges in innovative partnerships and solutions
Current applications/practices
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 23: Medical society synergies in cardio-oncology
Annabelle Santos Volgman, Craig J. Beavers, Janki Thakker, John Rickards, and Vlad G. Zaha
Introduction
Current applications/practice
What societies are already doing to collaborate
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 24: Medical society guidelines in cardio-oncology
Robin Reinke Cullinane, Abdulaziz Hamid, Brock Malatches, Ibrahim El-Mais, Chiara Dauccia, Elisa Agostinetto, Elexis B. Price, John Rickards, Carmen Bergom, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Rules-based tool for guidelines implementation
The American Society of Clinical Oncology in 2017: Prevention and monitoring for cardiac dysfunction
American Society of Echocardiography/European Association of Cardiovascular Imaging in 2014: Expert consensus on multimodality imaging evaluation of adult patients during and after cancer therapy
Society for Cardiovascular Angiography and Interventions in 2016: Cardiovascular screening for patients on chemotherapy/radiation therapy
American Society of Echocardiography/European Association of Cardiovascular Imaging in 2013: Expert consensus on multi-modality imaging evaluation of cardiovascular complications of radiotherapy
Journal of the American College of Cardiology in 2021: Cardiovascular manifestations from therapeutic radiation
American College of Cardiology /American Heart Association in 2018: Cholesterol clinical practice guidelines
American College of Cardiology /American Heart Association in 2019: Primary prevention of cardiovascular disease
Subsequent published guidelines
European Society of Medical Oncology 2020 guidelines
European Society of Cardiology 2022 guidelines
National Comprehensive Cancer Network 2024 guidelines
Radiation oncology commentary on cardio-oncology guidelines
Cardio-oncology guidelines and salient publications in hematology
Hematology societies
Published guidelines
Published treatment approaches
Published research and scientific meetings
Cardiology-oncology innovation network
American Heart Association statement on artificial intelligence for precision medicine in cardio-oncology
Current applications/practice
Harmonization of American Society of Clinical Oncology and European Society for Medical Oncology guidelines
Online risk calculators
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 25: Policy and advocacy in cardio-oncology
Vuha Reddi, Brenton Bauer, Elexis B. Price, John Rickards, and Diego Sadler
Introduction
Building and supporting cardio-oncology programs
Insufficient infrastructure
Pandemic impact on cardio-oncology practices and health care policy
International experience
Advocacy in European Union
In the United Kingdom
In Latin America
Current applications/practice
Telemedicine
Role of artificial intelligence, machine learning, and precision medicine
Social disparities and the digital divide
Improving access by engagement in global collaborations
Academic advocacy
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 26: Innovative creative expression in cardio-oncology
Endurance Evbayekha, Kamala Tamirisa, Jay Tamirisa, Ritu Thamman, and Sherry-Ann Brown
Introduction
Art and quality of life
Music and symptom alleviation
Visual arts and research communication
Photovoice projects and survivorship
Dance movement and physical rehabilitation
Narrative medicine and patient stories
Storytelling
Expressive writing
Creative expression mobile applications
Collective experience and voices of creativity by healthcare providers
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 27: Innovation in cardio-oncology patient and provider education
Gift Chiechekam Echefu, Reese Jacobson, Somto Nwaedozie, and Sherry-Ann Brown
Introduction
Cardio-oncology provider training
Competency standards in cardiac-oncology training
Multidisciplinary collaboration and precision medicine for clinical decision support
Pedagogical approach to provider education
Innovations in patient education in cardio-oncology
Social media and patient education
Patient peer support networks
Multidisciplinary patient education
Artificial intelligence and telemedicine
Compassionate patient-centered care in the digital age
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 28: Patient engagement in cardio-oncology
Reese Jacobson, Gift Chiechekam Echefu, Somto Nwaedozie, Robin Reinke Cullinane, and Sherry-Ann Brown
Introduction
Defining patient engagement
Attributes of patient engagement in the context of cardio-oncology
Personalization
Access
Commitment
Therapeutic alliance
Shared decision making in cardio-oncology care
Mobile health technology in patient engagement
Patient-centered engagement through social media
Patient engagement in research
Patient advocacy
Equity in cardio-oncology care and research: challenges and strategies for improvement
Benefits of patient engagement in cardio-oncology
Challenges to effective patient engagement
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 29: Health equity in cardio-oncology
Lakeshia Cousin, Arnethea L. Sutton, Enat Arega, Timiya S. Nolan, and Eric H. Yang
Introduction
Health equity in cardio-oncology
Social determinants of health
Current applications/practice
Integrating social determinants of health into advancements in cardio-oncology
Cardio-oncology innovations and health equity
Artificial Intelligence applications in preclinical and clinical drug development
Tailoring innovations for diverse cardio-oncology populations
Community and interdisciplinary partnerships
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 30: Digital transformation in cardio-oncology
Gift Chiechekam Echefu, Jessica Olson, Unwam E. Jumbo, Cameron Otto, and Sherry-Ann Brown
Introduction
Precision cardio-oncology
Application of artificial intelligence, natural language processing, and machine learning (digital health tools, big data, and informatics) in cardio-oncology
Digital transformation in exercise and physical rehabilitation in cardio-oncology
AI automation in digital cardio-oncology care
The digital divide in cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 31: Culminating story of the future of cardio-oncology
Cameron Otto, Abdulaziz Hamid, and Sherry-Ann Brown
Introduction
Fictional case example
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Afterword
Index
About the editor
Foreword
Preface
Acknowledgments
Cancer & the heart: The inevitable dance
CHAPTER 1: Introduction to cardio-oncology
Alan H. Baik, Brenton Bauer and Craig J. Beavers
Introduction
Current applications/practice
Cardiovascular risk across the spectrum of cancer and cardiovascular disease
Specific considerations in cardio-oncology
Traditional chemotherapy
Targeted therapies
Immunotherapy
Radiotherapy
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 2: Innovation tools and technologies in cardio-oncology
Unwam E. Jumbo, Cameron Otto, John Rickards, James MacLeod, Jessica Olson, and Sherry-Ann Brown
Introduction
Revolutionizing patient care: Digitalization and artificial intelligence in cardio-oncology
Bridging cardio-oncology disparities through digitalization
Information sharing
Education and learning
Tools for digitalizing cardio-oncological processes
The role of telehealth
The role of artificial intelligence
The role of precision medicine
The role of informatics
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 3: The place of cardio-oncology in oncology
Vivek Agarwala, Nibedita Sen, Susan Dent, Aruni Ghose, Elexis B. Price, John Rickards, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Rationale for cardio-oncology
Terminologies
Reverse cardio-oncology
Concept of bi-directional cardio-oncology
The neurohormonal hypothesis
The “inflammatory milieu” hypothesis
Role of cardio-oncology in radiation oncology
Cardio-oncology in medical oncology
Anthracyclines mediated cardiac injury
Harnessing the cardiotoxic effects of HER2 therapy
Fluoropyrimidines (e.g., fluorouracil and capecitabine)
Taxanes
Tyrosine kinase inhibitors
Vascular endothelial growth factor signaling pathway inhibitors
Immune checkpoint inhibitors
Hormonal agents
Novel agents
Cardio-oncology in hematological malignancies and transplant
Myeloma drugs
Role of cardio-oncology in surgical oncology
Current cardio-oncology applications
Baseline cardiovascular risk assessment before starting cancer treatment
Cardioprotective strategies
Concept of permissive cardiotoxicity
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 4: Prevention, screening, and surveillance in cardio-oncology
Alexi Vasbinder, Hugo Martinez, and Michelle Bloom
Introduction
Cardiovascular risk assessment and screening
Traditional cardiovascular risk factors
Cancer treatments
Cardiac imaging and other cardiac testing
Cardiac biomarkers
Clinical risk scores
Screening guidelines
Surveillance strategies during and after cancer treatment
Monitoring guidelines during cancer therapy
Surveillance after completing cancer therapy
The role of prevention in cardio-oncology
Patient-related risk modification and prevention in cardio-oncology
Cancer therapy-related risk modification and prevention in cardio-oncology
Cardiovascular pharmacology approaches to prevent cancer treatment-related LV dysfunction
Other considerations for prevention in patients with cancer
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 5: Innovations in pediatric cardio-oncology
Neha Bansal, Heang Lim, and Steven E. Lipshultz
Introduction
Chemotherapeutic agents associated with cardiotoxicity
Radiation therapy-associated cardiotoxicity
Effects of cardiotoxicity
Genetic associations
Risk factors
Dexrazoxane
Current applications in pediatric cardio-oncology
Cardiac monitoring of survivors
Serum cardiac biomarkers
Management of cardiotoxicity
Transition of care from pediatric to adult care
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 6: Cardio-oncology in the digital era
Ibrahim El-Mais, Ragasnehith Maddula, Xiangkun Cao, and Paul Nona
Introduction
Rise of digital health in the Coronavirus pandemic
Digitization of healthcare: Artificial intelligence, big data, wearables, genomics
Artificial intelligence
Current applications/practice
Wearable devices
Personalized medicine
Genomics
Healthcare disparities
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 7: Principles of telehealth and telemedicine in cardio-oncology
Ahmed Saleh, Paul Nona, Elexis B. Price, John Rickards, and Efstathia Andrikopoulou
Introduction
Development of telehealth in cardio-oncology
Framework of telehealth in cardio-oncology
Current applications of telehealth in cardio-oncology clinics
Remote patient monitoring and mobile health tools
Atrial fibrillation and arrhythmias
Heart failure and pulmonary hypertension
Management of cardiovascular risk factors
Cardiovascular rehabilitation
Applications of artificial intelligence to telehealth
Artificial intelligence in telehealth
Artificial intelligence in remote patient monitoring
Artificial intelligence in mobile health tools and ECG interpretation
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 8: Advent of mHealth applications in cardio-oncology
Brock Malatches, Efstathia Andrikopoulou, and Paul Nona
Introduction
Digitization of healthcare & rise of mHealth
Advantages of mHealth
Increased access
Cost reduction
Personalized medicine
Patient empowerment
Barriers and challenges to implementing mHealth
Lack of evidence and research
Reliability of consumer devices
Data security and privacy concerns
Data volume
Clinical integration and related costs
Special populations
Reimbursement
Current applications/practice of mHealth in cardio-oncology
Mobile applications
Mobile devices/wearables
Future of mHealth in cardio-oncology
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Glossary
References
CHAPTER 9: Artificial intelligence in cardio-oncology: Machine learning, deep learning, and natural language processing
Lichy Han, Kirsten R. Steffner, and Louise Y. Sun
Introduction
Machine learning
Deep learning
Natural language processing
Current applications/practice
Risk stratification and outcome prediction
Clinical decision support
Chemoinformatics and computational toxicology
Precision medicine
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 10: AI/ECG in cardio-oncology
Ekenedilichukwu Nnadi, Cameron Otto, Abdulaziz Hamid, Annabelle Santos Volgman, and Sherry-Ann Brown
Introduction
Application of electrocardiogram in the detection of cardiotoxicities
Artificial intelligence to screen for left ventricular systolic function
Artificial intelligence to screen for right ventricular size and function
Artificial intelligence to screen for arrhythmias
Risk prediction and integration with clinical variables
AI electrocardiogram signal processing for improving diagnostic quality and accuracy
Integration of electrocardiogram data with other imaging modalities in cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 11: AI-imaging in cardio-oncology
Hibba Kurdi, David Gent, Juma R. Bin Firos, Michel Chedid El Helou, Elexis B. Price, John Rickards, Patrick Collier, Arjun K. Ghosh, Robin Reinke Cullinane, and Sherry-Ann Brown
Introduction
Artificial intelligence in cardio-oncology imaging
Echocardiography
Cardiovascular magnetic resonance imaging
Cardiac computed tomography
Nuclear cardiology
Current applications of artificial intelligence-imaging in cardio-oncology
Echocardiography
Cardiac magnetic resonance
Cardiac computed tomography
Nuclear imaging
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 12: Artificial intelligence in echocardiography
Alex Byrne, Rhys Gray, John Rickards, Elexis B. Price, Marielle Scherrer-Crosbie, Juan Lopez-Mattei, and Arjun K. Ghosh
Introduction
Artificial intelligence in cardio-oncology echocardiography
Image acquisition
View identification
Image segmentation and automatic measurement
Interpretation
Current applications/practice in cardio-oncology
Enhancing report accuracy
Reduce variability between scans
Supporting the workforce
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 13: Artificial intelligence at the point-of-care in cardio-oncology
Jia Guo and Jeanne M. DeCara
Abbreviations
Introduction
Artificial intelligence at the point-of-care: Transforming echocardiography
Artificial intelligence at the point-of-care: Revolutionizing electrocardiography and wearables
Artificial intelligence at the point-of-care: Enhancing disease detection
Artificial intelligence at the point-of-care: Monitoring hypertension
Multimodal use of point-of-care devices in the ambulatory setting
Current applications of point-of-care devices in clinical practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 14: Precision health and medicine in cardio-oncology
Joshua G. Lee and Louise Y. Sun
Introduction
Advances in cardio-oncology
Precision medicine in cardio-oncology
Omics approaches in precision cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 15: Integrated multiomics & systems medicine approach in precision cardio-oncology
Chibuike Charles Agwuegbo, Olayiwola Bolaji, John Rickards, Gabrielle Mbagwu, and Sherry-Ann Brown
Introduction
Cardiovascular risk in cancer survivors
Precision and systems medicine approaches to cardio-oncology
Omics: Definition of terms
Omics-based biomarkers for cardiotoxicity
Genomics
Genetic variants in doxorubicin exporters: Balancing risk and protection
SNPs as predictive biomarkers: Balancing sensitivity and specificity
Addressing the lack of diversity in genomics studies
The future of genomics in cardio-oncology: Opportunities and challenges
Transcriptomics
Proteomics
Micrornaomics
miRNA utility in cardio-oncology
Epigenomics/methylomics
Risk factors for methylation
Integration of omics
Current applications/practice
Workflow of an integrated approach to predicting cardiovascular disease in cardio-oncology
P*3 approach to workflow: Precision, predictive, and personalized medicine
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 16: Network medicine in precision cardio-oncology
Michelle Z. Fang, John Rickards, and Feixiong Cheng
Introduction
Network proximity algorithm
Network-based algorithm
Define disease modules
Current applications/practice
Future directions/predictions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 17: Computational medicine and patient avatars in cardio-oncology
Endurance Evbayekha, Stanley Moore, Robin Reinke Cullinane, Quynlan Duffy, John Rickards, Louise Y. Sun, and Sherry-Ann Brown
Introduction
Key concepts
Building SuperModels: Emerging patient avatars for use in precision cardio-oncology
Building SuperModels and components of SuperModels
Big data modeling for precision medicine
Digital twins in cardio-oncology
Principles for developing patient avatars in precision cardio-oncology
Health Avatar Platform architecture and data communication
Patient similarity in cardio-oncology
Real-world patient experience and opinion of avatars
Challenges
Opportunities
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 18: The role of informatics in cardio-oncology
Elizabeth Hutchins, Ashley F. Stein-Merlob, Eric H. Yang, Mahmoud Eljalby, and Vlad G. Zaha
Introduction
Current applications/practice
Health informatics
Electronic health record (EHR) informatics tools
Data analytics in cardio-oncology research
Data analytic methods and their use in cardio-oncology
Future predictions/directions
Expanded data sources
Increased computing power
Advanced analytic tools
Increased interdisciplinary collaboration
Expanded access to care
Policy and ethical considerations
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 19: Management of big data in cardio-oncology
Sumanth Khadke, Ashish Kumar, Yixin Kong, Sourbha S. Dani, and Sarju Ganatra
Introduction
Sources of big data
Administrative claims databases
Electronic health record (EHR) derived databases
Cancer registries
Population-level databases
Molecular data
Data from wearables and sensors and imaging
Data management and integration
Building big data platforms for cardio-oncology
Data curation, harmonization, and interoperability
Ensuring data quality and handling missing data
Data security and privacy considerations
Analytic approaches
Propensity score methods
Machine learning and artificial intelligence
Systems biology and multiomics integration
Digital phenotyping
Visualization techniques
Survival analysis
Estimating causal effects
Sensitivity analysis
Translational applications
Risk prediction and clinical decision support
Drug safety surveillance and pharmacovigilance
Precision cardio-oncology
Population health management
Big data in addressing SDOH and climate change
Big data, challenges, and policy limitations
Methodological limitations and potential biases
Ethical and legal issues
Need for collaborative initiatives and data sharing
Policy limitations
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Author contributions
References
CHAPTER 20: Innovations in cardio-oncology research
Nikitha Vobugari, Madhuri Chengappa, John Rickards, and Anne Blaes
Introduction
Enhancing cardiotoxicity mitigation: Personalizing cancer therapies
Chemotherapeutics optimization
Radiation therapies optimization
Unknown cardiotoxicity with de-escalation strategies
Predictive modeling and risk assessment tools
Baseline cardiovascular risk assessment models
Artificial intelligence research in cardiotoxicity prediction
Feasibility of risk model applications in clinical practice
Evolving biomarkers
Wearable devices in healthcare monitoring
Use of wearable devices in oncology
Challenges to the use of wearables
Ongoing research in cardioprotective medications and evolving sodium-glucose cotransporter two inhibitors
Sodium-glucose cotransporter two inhibitors
The molecular mechanisms of the cardioprotective effects
Clinical evidence supporting the cardioprotective effects of sodium-glucose cotransporter two inhibitors
Current therapeutics in cardio-oncology
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 21: Innovations in cardio-oncology community engagement
Vivek Agarwala, Pritam Kumar Sardar, John Rickards, Susan Dent, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Community engagement and impact of innovations in cardio-oncology
Historical context
Patient engagement
Current applications/practice
Collaboration in cardio-oncology
Collaboration with science and technologies
Innovation in atrial fibrillation and arrhythmias prevention
Innovation in heart failure/pulmonary hypertension management
Consultation in cardio-oncology
Communication in cardio-oncology
Effect of COVID-19 on innovations in cardio-oncology
Role of social media in community engagement in a post-COVID era
Disparities in cardio-oncology
Training, education, and research in cardio-oncology
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
Disclosures
Financial
Non-financial
Further reading
References
CHAPTER 22: Innovative partnerships in academia, technology, and industry in cardio-oncology
Gift Chiechekam Echefu, Ekenedilichukwu Nnadi, Asra Khalid Butt, and Sherry-Ann Brown
Introduction
Connected health innovative programs
The multidisciplinary team care approach in cardio-oncology
Academic and industry collaborations and partnerships
Innovation in research partnerships and principles for successful interdisciplinary teams
Foundational structure of an interdisciplinary research team
Team leader
Communication
Team building
Funding
Team training
Indicators of successful performance
Opportunities and challenges in innovative partnerships and solutions
Current applications/practices
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 23: Medical society synergies in cardio-oncology
Annabelle Santos Volgman, Craig J. Beavers, Janki Thakker, John Rickards, and Vlad G. Zaha
Introduction
Current applications/practice
What societies are already doing to collaborate
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 24: Medical society guidelines in cardio-oncology
Robin Reinke Cullinane, Abdulaziz Hamid, Brock Malatches, Ibrahim El-Mais, Chiara Dauccia, Elisa Agostinetto, Elexis B. Price, John Rickards, Carmen Bergom, Evandro de Azambuja, and Sherry-Ann Brown
Introduction
Rules-based tool for guidelines implementation
The American Society of Clinical Oncology in 2017: Prevention and monitoring for cardiac dysfunction
American Society of Echocardiography/European Association of Cardiovascular Imaging in 2014: Expert consensus on multimodality imaging evaluation of adult patients during and after cancer therapy
Society for Cardiovascular Angiography and Interventions in 2016: Cardiovascular screening for patients on chemotherapy/radiation therapy
American Society of Echocardiography/European Association of Cardiovascular Imaging in 2013: Expert consensus on multi-modality imaging evaluation of cardiovascular complications of radiotherapy
Journal of the American College of Cardiology in 2021: Cardiovascular manifestations from therapeutic radiation
American College of Cardiology /American Heart Association in 2018: Cholesterol clinical practice guidelines
American College of Cardiology /American Heart Association in 2019: Primary prevention of cardiovascular disease
Subsequent published guidelines
European Society of Medical Oncology 2020 guidelines
European Society of Cardiology 2022 guidelines
National Comprehensive Cancer Network 2024 guidelines
Radiation oncology commentary on cardio-oncology guidelines
Cardio-oncology guidelines and salient publications in hematology
Hematology societies
Published guidelines
Published treatment approaches
Published research and scientific meetings
Cardiology-oncology innovation network
American Heart Association statement on artificial intelligence for precision medicine in cardio-oncology
Current applications/practice
Harmonization of American Society of Clinical Oncology and European Society for Medical Oncology guidelines
Online risk calculators
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 25: Policy and advocacy in cardio-oncology
Vuha Reddi, Brenton Bauer, Elexis B. Price, John Rickards, and Diego Sadler
Introduction
Building and supporting cardio-oncology programs
Insufficient infrastructure
Pandemic impact on cardio-oncology practices and health care policy
International experience
Advocacy in European Union
In the United Kingdom
In Latin America
Current applications/practice
Telemedicine
Role of artificial intelligence, machine learning, and precision medicine
Social disparities and the digital divide
Improving access by engagement in global collaborations
Academic advocacy
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 26: Innovative creative expression in cardio-oncology
Endurance Evbayekha, Kamala Tamirisa, Jay Tamirisa, Ritu Thamman, and Sherry-Ann Brown
Introduction
Art and quality of life
Music and symptom alleviation
Visual arts and research communication
Photovoice projects and survivorship
Dance movement and physical rehabilitation
Narrative medicine and patient stories
Storytelling
Expressive writing
Creative expression mobile applications
Collective experience and voices of creativity by healthcare providers
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 27: Innovation in cardio-oncology patient and provider education
Gift Chiechekam Echefu, Reese Jacobson, Somto Nwaedozie, and Sherry-Ann Brown
Introduction
Cardio-oncology provider training
Competency standards in cardiac-oncology training
Multidisciplinary collaboration and precision medicine for clinical decision support
Pedagogical approach to provider education
Innovations in patient education in cardio-oncology
Social media and patient education
Patient peer support networks
Multidisciplinary patient education
Artificial intelligence and telemedicine
Compassionate patient-centered care in the digital age
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Further reading
CHAPTER 28: Patient engagement in cardio-oncology
Reese Jacobson, Gift Chiechekam Echefu, Somto Nwaedozie, Robin Reinke Cullinane, and Sherry-Ann Brown
Introduction
Defining patient engagement
Attributes of patient engagement in the context of cardio-oncology
Personalization
Access
Commitment
Therapeutic alliance
Shared decision making in cardio-oncology care
Mobile health technology in patient engagement
Patient-centered engagement through social media
Patient engagement in research
Patient advocacy
Equity in cardio-oncology care and research: challenges and strategies for improvement
Benefits of patient engagement in cardio-oncology
Challenges to effective patient engagement
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 29: Health equity in cardio-oncology
Lakeshia Cousin, Arnethea L. Sutton, Enat Arega, Timiya S. Nolan, and Eric H. Yang
Introduction
Health equity in cardio-oncology
Social determinants of health
Current applications/practice
Integrating social determinants of health into advancements in cardio-oncology
Cardio-oncology innovations and health equity
Artificial Intelligence applications in preclinical and clinical drug development
Tailoring innovations for diverse cardio-oncology populations
Community and interdisciplinary partnerships
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 30: Digital transformation in cardio-oncology
Gift Chiechekam Echefu, Jessica Olson, Unwam E. Jumbo, Cameron Otto, and Sherry-Ann Brown
Introduction
Precision cardio-oncology
Application of artificial intelligence, natural language processing, and machine learning (digital health tools, big data, and informatics) in cardio-oncology
Digital transformation in exercise and physical rehabilitation in cardio-oncology
AI automation in digital cardio-oncology care
The digital divide in cardio-oncology
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
CHAPTER 31: Culminating story of the future of cardio-oncology
Cameron Otto, Abdulaziz Hamid, and Sherry-Ann Brown
Introduction
Fictional case example
Current applications/practice
Future predictions/directions
Summary/conclusions
Case studies/examples
Multiple choice Q&A
References
Afterword
Index
- Edition: 1
- Published: June 6, 2025
- Imprint: Academic Press
- Language: English
SB
Sherry-Ann Brown
Dr. Sherry-Ann Brown was the Director of Cardio-Oncology at Froedtert Hospital & Milwaukee VA Medical Center and an Assistant Professor at the Medical College of Wisconsin, specializing in cardio-oncology and preventive cardiology, especially in women. In her role as Director of Cardio-Oncology, she had collaborated with colleagues to build the Cardio-Oncology program at MCW to facilitate innovative clinical and translational research linked to the Cardio-vascular Research Center and Cancer Center and had also encouraged physicians to increase clinical trials participation and cultivate investigator-initiated trials pertaining to cardio-oncology research. Dr. Brown is board-certified in cardiology and internal medicine. She has several years of clinical and academic experience where she has worked full-time in well reputed cancer institutions, such as The Mayo Clinic, Rochester, Minnesota. She is the author of more than 100 scientific articles in international high impact journals, book chapters, and comments on her area of specialty.
Affiliations and expertise
Master of Public Health (MPH) Preceptor Program, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, United States, Heart Innovation and Equity Research Institute, Miami, FL, United StatesRead Innovations in Cardio-Oncology on ScienceDirect