Projects

A collection of my work at the intersection of machine learning and medicine/biology. My projects span two broad themes: ML + Medicine (clinical AI, healthcare tools) and ML + Biology/Biotech (drug discovery, protein design).

I work at KCDH-A under the mentorship of Dr. Anurag Agrawal on research projects spanning palliative care, cancer & medical voice agents, all with a north star objective of improving patient outcomes.

Looking for research interns! I am looking for enthusiastic students (both undergrads & grad students) to work with me on any of my research interests.

If you are interested, write to me at my Ashoka email with the subject line "Research Intern interest", including a short paragraph about your background and which of these areas you would like to do research on.

ML + Medicine

Clinical AI, healthcare tools, and medical decision support systems.

Featured
AI + Healthcare

Virtual Tumor Board

7 AI Specialists. 256 Guidelines. One Consensus.

Multi-agent AI that simulates a real tumor board meeting. Surgical, medical, radiation oncology, palliative care, radiology, pathology, and genetics specialists deliberate on cancer cases—grounded in NCCN, ESMO, ASTRO guidelines with Indian healthcare context.

Try Live Demo →
Medical Imaging

Onco-Seg

Adapting SAM3 for Medical Image Segmentation

Multi-modal AI for tumor & organ delineation. One unified model handles CT, MRI, ultrasound, dermoscopy, endoscopy, PET-CT, X-ray, and histopathology. Trained on 35 datasets, 98K+ cases.

LoRA Fine-tuning 8 Modalities 12 Benchmarks
View Project
Onco-Seg liver segmentation demo

Patient Education & Clinical Tools

Understand Your Cancer Records

AI-powered tool that transforms any cancer medical record—imaging reports, biopsy results, oncology prescriptions, genetic testing, histopathology reports—into accessible, multilingual patient education materials in five Indian languages at multiple literacy levels.

Learn Something Wonderful About Rare Diseases

Inspired by readsomethingwonderful.com and built with matter.js—a curated collection of rare disease readings in an interactive, physics-based interface.

Clinical Trials & Regulatory Analysis

FDA Complete Response Letter Analysis

ML platform analyzing 297 FDA rejection letters. Predicts approval outcomes with 72% accuracy and uncovers patterns in drug deficiencies.

AACR 2025 Clinical Trials Dashboard

Interactive visualization of clinical trial data from AACR 2025. Explore trial phases, therapeutic targets, and outcomes.

Explore dashboard

ASCO 2025 Data Visualization

Comprehensive analysis and visualization of oncology research presented at ASCO 2025 annual meeting.

View analysis

Grants

Grand Challenges India (Awarded November 2024)

Building palliative care decision support for caregivers using LLMs, RAG & a dataset of Indian palliative care case scenarios with clinical partners (Max Healthcare & Pallium India).

PI: Dr. Anurag Agrawal Co-investigator: Ashish Makani

Supported by