futianfan/clinical-trial-outcome-prediction
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
This project helps predict the success or failure of a drug in clinical trials. It takes in detailed information about a drug candidate, the disease it targets, and the trial's design (eligibility criteria) to output a probability of approval. This tool is valuable for pharmaceutical researchers, R&D strategists, and investment analysts in the healthcare sector.
150 stars. No commits in the last 6 months.
Use this if you need to assess the likelihood of success for a new drug candidate in clinical trials, especially across different phases.
Not ideal if you are looking for a tool for commercial application, as the benchmark dataset and code are restricted to non-commercial use only.
Stars
150
Forks
43
Language
Python
License
—
Category
Last pushed
Jun 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/futianfan/clinical-trial-outcome-prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rvandewater/YAIB
🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction...
YerevaNN/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
justin13601/ACES
[ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams
myADLM/ADLM-2025-Data-Challenge
Build an AI Tool for Extracting Information from Laboratory Documentation
cconsta1/SexEst
SexEst is an open-source Streamlit web application for predicting biological sex from skeletal...