Medical Science
The convergence of computer science and medical science is reshaping how we understand disease, design therapies, and deliver care. From deep learning models that outperform radiologists on specific imaging tasks to graph neural networks mapping protein interactions, computational methods are becoming indispensable across biomedical research.
Watch — a short tour of this page, narrated in my own AI-cloned voice.
What’s in this branch
Neuroscience & AI
Neural dynamics, brain–computer interfaces, motor and speech decoding, connectomics, and calcium imaging analysis.
Bioinformatics
Multi-omics integration, machine learning for disease mechanism, and protein structure prediction with ESM-3.
Medical Imaging AI
CNN diagnostics, segmentation architectures (U-Net, nnU-Net, MedSAM), computational pathology, and clinical validation.
Clinical AI
EHR analytics, clinical NLP, biomedical language models, LLMs in medicine, and regulatory frameworks.
Drug Discovery
Molecular property prediction, generative chemistry, deep-learning docking (DiffDock), and ADMET modelling.
References
Full bibliography for the Medical Science branch, with journal citations and arXiv preprints.
Conventions
Each page is a standalone academic note with inline citations that resolve to the master References page within this branch. Sources are drawn primarily from peer-reviewed journals (Nature, Science, Nature Methods, Nature Biotechnology) and arXiv preprints.