AI MACHINE LEARNING + BIOLOGY

A collection of resources about AI applications in biology, covering computational methods, genetic analysis, protein folding, and bioinformatics. This compilation highlights key themes such as machine learning techniques, data integration, and predictive modeling to enhance understanding and innovation in biological research.

AI in medicine and health care - diagnosis, scanning and testing

A collection of resources about protein folding and its mapping using artificial intelligence. This comprehensive compilation explores the intricate process by which proteins achieve their functional three-dimensional structures, emphasizing the significance of accurate folding in biological systems. Key themes include the mechanisms of protein ...

A collection of resources about DeepMind AlphaFold, exploring the groundbreaking AI model that predicts protein structures. Key themes include the significance of protein folding in biology, advancements in computational methods, and implications for drug discovery and disease understanding. Ideal for students and researchers in biotechnology an...

A collection of resources about brain-computer interfaces (BCIs), exploring the intersection of neuroscience and technology. This compilation includes scholarly articles, case studies, and instructional materials that delve into the mechanisms of BCIs, their applications in medical rehabilitation, and advancements in communication for individual...

Data Sets and AI in medicine and health care

Online Doctors, Virtual healthcare, Telehealth, medicine

Quantitative vs. Qualitative research - biology, medicine and health care