An open knowledge hub bridging theoretical research and practical application in AI for Medicine. The skills usually learned in a MS or PhD — how to read, write, present, and publish an AI paper — distilled into a free, self-paced curriculum available to anyone.
From foundational ML concepts to clinical data access, regulatory awareness, and deployment constraints — we cover what papers don't.
You don't need a lab or a supervisor to learn how to write a publishable paper. This curriculum makes that knowledge free and accessible to all.
India's healthcare AI market is on a steep growth curve. We cover its startups, researchers, datasets, and institutions from the inside.
A deep dive into why pre-trained LLMs fragment medical terms like "erythromycin" into five tokens — and the MEDVOC framework that fixes it. Companion article to the Microsoft Research India talk.
Read the guideCITI training, data access, clinical motivation frameworks, and ML challenges with patient data — using Parkinson's disease subtyping as a case study.
Read the guideA 6-month playbook with a real medical NLP case study — shared tasks, the right conferences, and a weekly schedule that works.
Read the guideA practical guide to writing rebuttals that address reviewer concerns, structure your responses effectively, and significantly improve your acceptance odds.
Read the guideSix traits of a genuinely good mentor, and the warning signs that a relationship will cost you years of your life.
Read the guideA comprehensive guide covering the application timeline, crafting research statements, navigating visa processes, and what committees actually look for.
Read the guideEverything here is grounded in first-hand research experience across India, Germany, and the US.
Kalyani Government Engineering College, West Bengal. First paper, first hackathon (Smart India Hackathon 2017), first taste of real research problems.
MS Research in CS at IIT Kharagpur. Published at WebSci 2019 (Boston). Began PhD. Full guide to the MS Research application →
Moved to Hannover during COVID. Clinical AI research on Parkinson's disease subtyping. How I got there →
Research internships in India. Published Parkinson's paper in Frontiers in AI (IF: 4.7). Presented MEDVOC at IJCAI 2024.
Continuing vocabulary adaptation research (ACL 2025 Findings). Talk at Microsoft Research India. This site documents everything learned across the full journey.
Hugging Face Hub, MIMIC-CXR, CheXpert, PPMI, UK Biobank, FIRE — every major platform and domain-specific collection with access instructions.
Open the guideCORE-ranked month-by-month table covering NLP, ML, and medical AI venues — with MICCAI, AMIA, ML4H, and all major CS conferences.
Check deadlinesAnnotated reading list covering classical ML, deep learning, NLP, IR, and medical AI — with honest notes on who each book is for, and free PDF links.
See the listNo spam. Occasional curated updates when new posts, datasets, or deadline reminders are added. Unsubscribe anytime.
Join researchers, students, and engineers from IITs, ISI, and industry labs across India.