Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery
Unveiling Biological Frontiers
- 1st Edition - November 14, 2025
- Latest edition
- Editors: Sudan Jha, Sultan Ahmad, Subhendukumar Pani
- Language: English
Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intell… Read more
Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based methods to uncover complex biological networks. Through detailed examples and case studies, the book provides researchers and practitioners the essential tools to analyze molecular interactions, identify key biomarkers, and hasten the discovery of novel therapeutics. Chapters delve into the sophisticated interplay between advanced AI techniques and graph models, specially designed to decode the intricacies of biological systems. By utilizing cutting-edge AI algorithms, readers can explore complex biological networks, forecast molecular interactions, and pinpoint new drug targets with exceptional precision.
- Offers an innovative approach by combining artificial intelligence with graph-based techniques to delve into complex biological networks
- Includes practical examples and case studies, providing researchers and practitioners with the tools they need to analyze molecular interactions and identify crucial biomarkers
- Enables researchers to predict molecular interactions and identify novel drug targets with unparalleled accuracy and efficiency
- Unlocks new avenues for biological discovery, facilitating precise and effective research outcomes
Researchers working across the biosciences in the fields of Bioinformatics, Computer Science, Biomedical and Computer Engineering
1. Introduction to AI-powered graph models in biological sciences
Sudan Jha and Chandan Upadhyaya
2. Fundamentals of graph theory and biological networks
Edgar Ceh-Varela and Sarbagya Ratna Shakya
3. Leveraging Natural Language Processing and Graph Models for Sarcasm Detection in Text: Applications in Health Informatics and Biomedical Research
Manish Chandra Roy, Sukant Kishoro Bisoy and Pradipta Kumar Das
4. Graph-Driven Machine Learning Frameworks for Survival Prediction in Colon Cancer Genomics
Pinakshi Panda, Sukant Kishoro Bisoy and Subhendu Kumar Pani
5. Network Modeling in Drug-Disease Systems Prediction: A Review
Md. Alimul Haque, Farheen Islam, Sultan Ahmad, Md. Alamgir Hossain and Sangeeta Kumari
6. Exploring Gene Expression Changes in Drosophila melanogaster with RNA-Sequencing Data Analysis
Sarah Raza, Oroos Zohra, Md. Alimul Haque and Benazeer Zohra
7. Biomedical Research Tools, Applications, and Case Studies
Aman Anand, Praveen, Rajendra Kumar, Sudan Jha and Jaya Sinha
8. Integrating Graph Neural Networks for Predictive Modeling in Complex Biological Systems
Ankit Bansal, Aman Anand, Nikita Verma, Neetu Singh and Rajendra Kumar
9. Ethical Considerations in AI-Powered Healthcare and Data Security
Kritika Rana, Gaurav Gupta and Sultan Ahmad
10. AI-Enhanced Drug Discovery and Repurposing Using Graph Models
Sangam Ghimire, Nirjal Bhurtel and Sudan Jha
11. Intelligent Genetic Algorithm-Based Computational Neuroscience Model to Detect Epileptic
Haewon Byeon, Azzah AlGhamdi, Ismail Keshta and Mukesh Soni
Sudan Jha and Chandan Upadhyaya
2. Fundamentals of graph theory and biological networks
Edgar Ceh-Varela and Sarbagya Ratna Shakya
3. Leveraging Natural Language Processing and Graph Models for Sarcasm Detection in Text: Applications in Health Informatics and Biomedical Research
Manish Chandra Roy, Sukant Kishoro Bisoy and Pradipta Kumar Das
4. Graph-Driven Machine Learning Frameworks for Survival Prediction in Colon Cancer Genomics
Pinakshi Panda, Sukant Kishoro Bisoy and Subhendu Kumar Pani
5. Network Modeling in Drug-Disease Systems Prediction: A Review
Md. Alimul Haque, Farheen Islam, Sultan Ahmad, Md. Alamgir Hossain and Sangeeta Kumari
6. Exploring Gene Expression Changes in Drosophila melanogaster with RNA-Sequencing Data Analysis
Sarah Raza, Oroos Zohra, Md. Alimul Haque and Benazeer Zohra
7. Biomedical Research Tools, Applications, and Case Studies
Aman Anand, Praveen, Rajendra Kumar, Sudan Jha and Jaya Sinha
8. Integrating Graph Neural Networks for Predictive Modeling in Complex Biological Systems
Ankit Bansal, Aman Anand, Nikita Verma, Neetu Singh and Rajendra Kumar
9. Ethical Considerations in AI-Powered Healthcare and Data Security
Kritika Rana, Gaurav Gupta and Sultan Ahmad
10. AI-Enhanced Drug Discovery and Repurposing Using Graph Models
Sangam Ghimire, Nirjal Bhurtel and Sudan Jha
11. Intelligent Genetic Algorithm-Based Computational Neuroscience Model to Detect Epileptic
Haewon Byeon, Azzah AlGhamdi, Ismail Keshta and Mukesh Soni
- Edition: 1
- Latest edition
- Published: November 14, 2025
- Language: English
SJ
Sudan Jha
With 24+ years of combined experience in teaching, research, and industry, Prof. Sudan Jha is a Senior Member of IEEE and a Professor in the Department of Computer Science & Engineering at Kathmandu University, Nepal. He leads the IoT R&D Lab at Kathmandu University and has previously been affiliated with KIIT University, Chandigarh University, Christ University, and more. He has held key positions such as Technical Director at Nepal Television, Principal in engineering colleges, and Individual Consultant at Nepal Telecom Authority.
Prof. Jha is an AI expert with active contributions to Nepal's AI Policy 2081 for the Government of Nepal. He has also mentored the AI Concept Paper submitted by the Federation of Computer Association of Nepal (CAN Federation). Additionally, he serves as the Vice President of npCERT (Information Security Response Team Nepal), playing a crucial role in cybersecurity and digital infrastructure initiatives.
Dedicated to advancing higher education and smart platform technologies, he has published 95+ SCI/SCIE-indexed research papers and book chapters in international peer-reviewed journals and conferences. He is a Co-Editor-in-Chief of an international journal and a Guest Editor for SCIE/ESCI/SCOPUS-indexed journals. His research contributions include three patents and authorship/editorship of seven books on IoT, 5G, and AI, published by Elsevier, CRC, and AAP. His work has also secured funding for two international projects.
Prof. Jha has delivered keynote speeches at over 45 international conferences and has conducted faculty development programs, short-term training programs, and workshops at both national and international levels. He holds certifications in Microservices Architecture, Data Science, and Foundations of Artificial Intelligence.
His primary research interests include AI & IoT integration, Quality of Services in IoT-enabled devices, Neutrosophic Theory, and Neutrosophic Soft Set Systems.
Affiliations and expertise
Professor of Computer Engineering, KIIT University, Bhubaneswar, IndiaSA
Sultan Ahmad
Sultan Ahmad (Member, IEEE) is currently a Faculty Member of the Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. He earneda Master of Computer Science and Applications from Aligarh Muslim University, India, in 2006, and a Ph.D. degree in CSE from Glocal University. He has almost 2 decades of teaching and research experience. He has more than 110 accepted and published research papers and book chapters in reputed SCI, SCIE, ESCI, and SCOPUS-indexed journals and conferences. He has an Australian patent and a Chinese patent in his name. He has authored several books and presented his research papers at many national and international conferences. His research interests include Intelligent computing, data Science, machine learning, and the Internet of Things. He is a member of IEEE, IACSIT and the Computer Society of India
Affiliations and expertise
Prince Sattam Bin Abdulaziz University, Saudi ArabiaSP
Subhendukumar Pani
Dr. Subhendu kumar Pani received his Ph.D. from Utkal University ,Odisha, India. He is working as professor at Krupajal Engineeing College under BPUT, Odisha, India. He has almost 2 decades of teaching and research experience. His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. He has published dozens of international journal papers. His professional activities include roles as Book Series Editor, Associate Editor, Editorial board member and/or reviewer of various international journals. He is Associated with a number of conference societies. He has more than 150 international publications, 5 authored books, 15 edited and upcoming books; 20 book chapters into his account. He is a fellow in SSARSC and life member in IE, ISTE, ISCA,OBA.OMS, SMIACSIT, SMUACEE, CSI.
Affiliations and expertise
Professor, Krupajal Engineering College, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India