Deep Learning in Genetics and Genomics

Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi, India, and an Adjunct Professor at UCSI University, Malaysia. He has over 14 years of teaching and research experience and previously served as an ICCR Chair Visiting Professor at Ain Shams University, Egypt. Dr. Raza has published more than 160 peer-reviewed papers and authored/edited over 15 books with Springer, Elsevier, and CRC Press. He serves as Academic Editor of PLoS ONE, BMC Artificial Intelligence, and Guest Editor of npj Precision Oncology, JoVE, and several other journals. Recipient of Clarivate’s (Web of Science) India Excellence Research Citation Award 2025, Dr. Raza is consistently featured in the World’s Top 2% Scientists list (2022–2025). His research focuses on AI, bioinformatics, and health informatics

• 1. Enhancing Predictive Accuracy in Diabetic Retinopathy: Deep Learning Algorithms in Predictive Medicine2. Deep Learning in Predictive Medicine Exemplified by AI-Mediated Flu Surveillance in USA3. Towards Equitable Precision Medicine: Investigating the Transferability of Deep Learning Models in Clinical Genetics across Diverse Populations4. Analysis of Genetic and Clinical Features in Neuro Disorders Using Deep Learning Models5. Deep Learning Insights into Transcriptomics and Gene Expression Patterns analysis6. Role of AI and Deep Learning in Clinical Cancer Genomics Allowing Targeted Therapies for Oncology7. Deep Learning Approaches for Interpreting Non-coding Regions in Ovarian Cancer8. Advancements in AI-driven Spatial Transcriptomics: Decoding Cellular Complexity9. Neural Architectures for Genomic Understanding: Deep Dive into Epigenome and Chromatin Structure 10. Deep Learning in Personalized Genomics and Gene Editing11. Deep Learning-based Model for Prediction of Prognostic Genes of Breast Cancer using Transcriptomic data12. Deciphering the Complexity of Life: Advances in Genomic Image Analysis13. Qualitative Study on Steganography of Genomic Image Data for Secure Data Transmission Using Deep Learning Models14. Generative AI in Genetics: A Comprehensive Review15. Integrating Computational Biology and Multi-Omics Data for Precision Medicine in Personalized Cancer Treatment16. Deep Generative Models in Utilitarian and Metamorphic Genomics - Intellectual Benefits17. Transfer Learning in High-Dimensional Genomic Data Analysis18. Inequality in Genetic Healthcare: Bridging Gaps with Deep Learning Innovations in LMICs19. Harmonizing Health Horizons: Bridging Research Gaps in Big Data Management for Transformative Clinical Insights20. Bridging the Gap: Understanding Genetic Discoveries through Explainable AI21. Explainable AI in Genetics: A Case Study22. Deep Learning in Predicting Genetic Disorders: A Case Study23. AI and Deep Learning in Single-Cell Omics Data Analysis: A Case Study24. Deep Learning for Network Building and Network Analysis of Biological networks: A Case Study25. Transformer Networks and Autoencoders in Genomics and Genetic Data Interpretation: A Case Study