Artificial Intelligence in Urologic Malignancies
- 1st Edition - November 27, 2024
- Latest edition
- Editor: Himanshu Arora
- Language: English
Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance… Read more
Artificial Intelligence in Urologic Malignancies describes current artificial intelligence technology, with an emphasis on prostate cancer applications. The book provides guidance on how artificial intelligence can improve therapeutics, how the power of artificial intelligence integrated with current standard therapy and research can enhance decision-making, and proposes future directions on how to integrate artificial intelligence within clinical applications. This is the perfect reference for scientists and researchers interested in the basic translational research opportunities such as drug discovery, pharmacogenetics, and experimental therapeutics, as well as clinicians interested in how AI applications are integrated with applications.
- Provides guidance on AI integration that is expected to become standard in the future
- Places a special emphasis on prostate cancer and the integration of AI to show how to enhance personalized medicine
- Surveys current techniques and standards that can be shared and applied to fields outside cancer
Researchers of prostate cancer, urologists and oncologists. Bioinformatics specialists, software engineers, data scientists
1. Current Advancements of ML in Healthcare
Nikhil Kulkarni, Aysswarya Manoharan, Apurva Ramanujam, Benjamin Vinarski, Sameer Deshmukh
2. Machine Learning and Pathology: A Historical Perspective
Yasamin Mirzabeigi, Sheetal Malpani, Seyedeh Mohammadi, Romy Paz, Richard Gasca, Himanshu Arora
3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions
Romy Paz, Apurva Ramanujam, Benjamin Vinarski, Abul Shadali
4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets
Sheetal Malpani, Richard Gasca, Ineabelle Collazo, Derek Booven
5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding
Alexandra Dullea, Ahmed Noman, Seyedeh Mohammadi, Aysswarya Manoharan, Sameer Deshmukh
6. ChatGPT and Healthcare- current and future prospects
Derek Booven, Cheng-Bang Chen
7. Adversarial Networks – Enhancing current methodology with new models
Cheng-Bang Chen, Derek Booven, Himanshu Arora
8. Limitations of AI in Healthcare
Cheng-Bang Chen, Meenakshy Manoharan, Derek Booven
Nikhil Kulkarni, Aysswarya Manoharan, Apurva Ramanujam, Benjamin Vinarski, Sameer Deshmukh
2. Machine Learning and Pathology: A Historical Perspective
Yasamin Mirzabeigi, Sheetal Malpani, Seyedeh Mohammadi, Romy Paz, Richard Gasca, Himanshu Arora
3. AI in Personalized Medicine: Application of Genomics to Influence Therapy Decisions
Romy Paz, Apurva Ramanujam, Benjamin Vinarski, Abul Shadali
4. AI in Personalized Medicine: Using public repositories to understand patterns in relevant datasets
Sheetal Malpani, Richard Gasca, Ineabelle Collazo, Derek Booven
5. Mutational Landscape of Cancer and how Latest Technologies can help in simplifying the understanding
Alexandra Dullea, Ahmed Noman, Seyedeh Mohammadi, Aysswarya Manoharan, Sameer Deshmukh
6. ChatGPT and Healthcare- current and future prospects
Derek Booven, Cheng-Bang Chen
7. Adversarial Networks – Enhancing current methodology with new models
Cheng-Bang Chen, Derek Booven, Himanshu Arora
8. Limitations of AI in Healthcare
Cheng-Bang Chen, Meenakshy Manoharan, Derek Booven
- Edition: 1
- Latest edition
- Published: November 27, 2024
- Language: English
HA
Himanshu Arora
Dr. Arora is Assistant Professor in Department of Urology at Sylvester Cancer Centre, University of Miami. He is the recipient of the Young Investigator Award from Regional Center for Biotechnology, UNESCO, for working on drug discovery in cancer. In 2016 he joined the University of Miami as a research scientist. He has several peer reviewed articles, patents, and grants. In 2019 he was promoted to a faculty position at the University of Miami. Currently, his lab is focusing on exploring therapeutic efficacy of Nitric oxide donors against different stages of Prostate cancer progression, using Nitric oxide donors in combination with currently available immune checkpoint inhibitors, and using machine learning tools to study the progression of prostate cancer and applying this knowledge in building up translational tools that could be used by researchers, clinicians and patients.
Affiliations and expertise
Research Assistant Professor, Assistant Professor of Research of Urology/Oncology (prostate cancer), Sylvester Cancer Centre, University of Miami, USARead Artificial Intelligence in Urologic Malignancies on ScienceDirect