Skip to main content
Elsevier

Artificial Intelligence in Gastrointestinal Cancers

  • 1st Edition - March 26, 2026
  • Latest edition
  • Editors: Ganji Purnachandra Nagaraju, Venkatesan Amouda, Ampasala Dinakara Rao
  • Language: English

Artificial Intelligence in Gastrointestinal Cancers examines the transformative impact of AI technologies on diagnosing and treating gastrointestinal malignancies. This book explor… Read more

Data Mining & ML

Unlock the cutting edge

Up to 20% on trusted resources. Build expertise with data mining, ML methods.

Explore now

Description

Artificial Intelligence in Gastrointestinal Cancers examines the transformative impact of AI technologies on diagnosing and treating gastrointestinal malignancies. This book explores how advanced algorithms, particularly deep learning models, enhance the analysis of medical imaging, including endoscopic, MRI, and CT scans, facilitating earlier and more accurate identification of cancers such as esophageal, stomach, colorectal, and pancreatic cancers. The content covers AI's multifaceted applications, from improving diagnostic accuracy to personalizing treatment strategies based on genomic and clinical data. It discusses how machine learning predicts patient outcomes and optimizes treatment plans while also addressing AI's role in accelerating drug discovery and clinical trials. For an academic audience, this book provides crucial insights into AI's current and future applications in GI oncology. Readers gain a comprehensive understanding of AI diagnostic tools and personalized treatment strategies, equipping researchers and clinicians with the knowledge to leverage these advancements for improved patient care and outcomes in gastrointestinal cancers.

Key features

  • Provides a comprehensive overview of how AI algorithms are applied in the early detection and diagnosis of gastrointestinal cancers
  • Highlights the role of machine learning in analyzing large datasets to predict treatment responses and patient outcomes
  • Outlines how AI accelerates the process of drug discovery and optimizes clinical trial design

Readership

Researchers, academics, scholars and students in fields such as oncology, artificial intelligence, biomedical engineering, and healthcare technology

Table of contents

  1. Artificial intelligence in gastrointestinal cancers
    Anusha Kanagala, Naga Sai Rasagna Mareddy, Ganji Purnachandra Nagaraju
  2. The role of artificial intelligence (AI) and machine learning (ML) in gastrointestinal (GI) tract cancers: challenges and opportunities
    Nidhilangelo M M, Barnali Ghosh, Ranjith Kumavath
  3. Rise of machine learning applications in diagnosis and prognosis of gastric cancer: Imaging and omics data
    Vigneshwar Suriya Prakash Sinnarasan, Dahrii Paul, Rajesh Das, Mujibur Rahman Sheikh, Amouda Vekatesan
  4. Imaging to intervention: examining the potential of artificial intelligence for gastrointestinal cancers
    S.P.D. Ponamgi, Sujatha Peela
  5. Developments of AI based early detection and diagnosis method in pancreatic cancer
    Seema Kumari, Ganji Purnachandra Nagaraju
  6. Exploring artificial intelligence approaches for studying intrinsically disorder proteins involvement in gastrointestinal cancers
    Saswati Sarita Mohanty, P.J. Jayalekshmi, Madhulika Namdeo, Dinakara Rao Ampasala
  7. Identification of diagnostic transcriptome regulatory network for prediction of early-onset Gastric Cancer using integrated bioinformatics analysis
    Vigneshwar Suriya Prakash Sinnarasan, Dahrii Paul, Rajesh Das, Mujibur Rahman Sheikh, Amouda Vekatesan
  8. Data to diagnosis: AI-powered insights for biomarker discovery in gastrointestinal tract cancers
    Suvitha Anbarasu, Shreya Bhattacharya, Reeves David, Deepali Dash, G. Vindhyasree, R. Vaishmitha, Sudha Ramaiah, Anand Anbarasu
  9. The role of artificial intelligence in gastric cancer diagnosis, prognosis, surgery and drug discovery
    Manoj Kumar Gupta, G.L.N. Prasad, Ramakrishna Vadde
  10. Acceptance sampling approaches in discovering drugs for gastrointestinal cancer
    V. Kaviyarasu, A. Nagarajan
  11. Transforming gastrointestinal tract cancer with applications and advancements of artificial intelligence and machine learning: A next-generation patient care
    Maharaja Muthuvairam Subbulakshmi, Manikandan Jayaraman, Jeyakanthan Jeyaraman
  12. Harnessing artificial intelligence for screening phytochemicals in gastrointestinal cancer therapeutics
    Mamta Goswami, Priyakshi Nath, Sibashish Kityania, Rajat Nath, Deepa Nath, Anupam Das Talukdar
  13. Exploring AI-enabled drug discovery and repurposing approaches for gastrointestinal tract cancer
    Suvitha Anbarasu, Avani Panickar, Srujal Kacha, Santhiya Vijayakumar, Sara Pearl, Elizabeth Annie George, Sudha Ramaiah, Anand Anbarasu
  14. AI-driven drug repurposing strategies for hepatocellular carcinoma: Unlocking new therapeutic potential
    Suryaa Manoharan, Aksayakeerthana Santhakumar, Ekambaram Perumal
  15. Revolutionizing therapeutic possibilities for hepatocellular carcinoma by advanced bioinformatics and artificial intelligence-driven drug repurposing
    Rajat Nath, Anupam Das Talukdar, A. Dinakara Rao
  16. Challenges and future perspectives of AI in gastrointestinal cancers
    Anusha Kanagala, Naga Sai Rasagna Mareddy, Ganji Purnachandra Nagaraju

Product details

  • Edition: 1
  • Latest edition
  • Published: March 26, 2026
  • Language: English

About the editors

GN

Ganji Purnachandra Nagaraju

Dr. Nagaraju obtained his MSc and his PhD, both in Biotechnology, from Sri Venkateswara University in Tirupati, Andhra Pradesh, India. He received his DSc from Berhampur University in Berhampur, Odisha, India. Dr. Nagaraju’s research focuses on translational projects related to gastrointestinal malignancies. He has published over 100 research papers in highly reputed international journals and has presented more than 50 abstracts at various national and international conferences. Dr. Nagaraju is author and editor of several published books for Elsevier and Springer Nature. He serves as editorial board member of several internationally recognized academic journals. Dr. Nagaraju has received several international awards including FAACC. He also holds memberships with the Association of Scientists of Indian Origin in America (ASIOA), the Society for Integrative and Comparative Biology (SICB), The Science Advisory Board, The RNA Society, The American Association for Clinical Chemistry (AACC) and the American Association of Cancer Research (AACR).
Affiliations and expertise
Assistant Professor, School of Medicine, Division of Hematology and Oncology, University of Alabama, Birmingham, AL, USA

VA

Venkatesan Amouda

Dr. V. Amouda is an Assistant Professor with a demonstrated history of working in higher education at the Department of Bioinformatics, Pondicherry University, Puducherry, India. She possesses a doctoral degree in Computer Science & Engineering from Pondicherry University. She has more than a decade of research and development experience in new computational data technologies focusing on Data analysis, Machine learning, Data mining, and Big Data analytics across biomedical areas. She has published more than 50 research articles in peer-reviewed international journals and presented many abstracts at national and international conferences. Dr. V. Amouda is a co-author of 4 book chapters published by International publishers and a reviewer of many international journals. She promotes science and progress by organizing 35 national and international conferences at various platforms in the Bioinformatics and Computer Science fields. She has a strong administrative professional experience with a track of contributing science to society by associating with various scientific bodies of Government & NGOs. She has experience in extension activities as she is a member of learned societies of national professional agencies.
Affiliations and expertise
Assistant Professor, Department of Bioinformatics, School of Life Sciences, Pondicherry University, India

AD

Ampasala Dinakara Rao

Dr. Ampasala earned his PhD degree in biochemistry from Sri Venkateswara University. He spent 12 years in research and teaching at Pondicherry University, Puducherry, India, and 10 years in postdoctoral studies in cancer research in United States and Canada. Dr. Ampasala’s current research focuses are on functional genomics, molecular mechanisms of cancer, signal transduction, and computational neurobiology and has published nearly 70 peer-reviewed scholarly research articles and book chapters, which are extensively cited globally. He is a reviewer and editorial member for several biomedical/bioinformatics journals and has received several competitive research grants for his research accomplishments/contributions. He has been honored with fellow award from the Society of Plant Research (2019), and he has bagged other prestigious awards such as DST-Young Scientist (2008), DBT-Young Investigator (2015), Science Communicator-ISCA (2013, 2014), and the Best Teacher Award (2011, Pondicherry University). He received VA Merit Award from Wayne State University, Detroit, MI, United States (2005–2007) for his postdoctoral studies; research associate fellowship funded by Genomic Canada, Canada (2001-2005); and postdoctoral fellowship funded by DBT, Indian Institute of Science (1999–2001).
Affiliations and expertise
Professor and Chairperson, Department of Bioinformatics, School of Life sciences, Pondicherry University, Puducherry, India

View book on ScienceDirect

Read Artificial Intelligence in Gastrointestinal Cancers on ScienceDirect