As advances in computation reshape how scientists study, analyze, and manipulate living systems, modern biological applications transform utilizing AI. AI-driven tools enable researchers to process vast datasets in genomics, proteomics, and molecular biology with speed and accuracy, leading to breakthroughs in areas like drug discovery, disease prediction, and personalized medicine. By integrating machine learning algorithms with experimental biology, scientists can uncover complex patterns, model biological processes, and accelerate innovation. This convergence of biology and AI enhances research efficiency while addressing global challenges in healthcare, agriculture, and environmental sustainability. Modern Biological Applications in the Age of AI explores the transformative intersection of biology and AI, presenting cutting-edge research, practical applications, and future directions in the life sciences. It highlights how AI technologies revolutionize fields including genomics, proteomics, drug discovery, medical diagnostics, personalized medicine, biotechnology, and environmental biology. This book covers topics such as machine learning, botany, and drug discovery, and is a useful resource for engineers, biologists, academicians, researchers, and scientists.
