Artificial Intelligence in Molecular Biology and Medicine: Advanced Applications in Biomedical Research and Precision Medicine, Volume 2 explores how AI, machine learning, deep learning, bioinformatics, and computational biology are transforming advanced biomedical research and modern medicine.

Building on Volume 1, this book examines practical AI applications across:
• Epigenetics and gene regulation
• Multi-omics integration across genomics, transcriptomics, proteomics, and metabolomics
• AI-powered bioinformatics and biological data analysis
• Protein folding and structural biology, including AlphaFold and RoseTTAFold
• Synthetic biology, genome engineering, and CRISPR design
• Precision medicine, biomarkers, patient stratification, risk prediction, and personalized therapeutics
• Disease diagnosis and early detection
• Medical imaging, radiomics, radiology, and digital pathology
• Cancer genomics, precision oncology, treatment-response prediction, and prognosis
• Clinical decision support, EHR intelligence, ICU monitoring, remote patient monitoring, and future intelligent hospitals

The book also addresses data quality, validation, generalizability, privacy, bias, biosafety, and responsible AI implementation.

Ideal for students, researchers, lecturers, healthcare professionals, bioinformaticians, data scientists, biotechnology professionals, and lifelong learners.