Deep Learning in Genetics and Genomics

Dr. Khalid Raza is working as an Associate Professor at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an “ICCR Chair Professor” at Ain Shams University, Cairo, Egypt. He has many years of teaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 120 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited dozens of books published by reputed publishers. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaboration with the scientists from leading institutions of India and abroad. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in 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