https://github.com/gusgitmath/ai_powered_drug_approval
This repository focuses on leveraging machine learning to predict drug approval outcomes. It includes analyses of clinical trial processes, datasets, and language models. Key features include trial alignment scoring, feature engineering, and predictive modeling to enhance decision-making in drug development.
https://github.com/gusgitmath/ai_powered_drug_approval
drugs language-model machine-learning nlp-machine-learning xgboost-classifier
Last synced: 6 months ago
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This repository focuses on leveraging machine learning to predict drug approval outcomes. It includes analyses of clinical trial processes, datasets, and language models. Key features include trial alignment scoring, feature engineering, and predictive modeling to enhance decision-making in drug development.
- Host: GitHub
- URL: https://github.com/gusgitmath/ai_powered_drug_approval
- Owner: GusGitMath
- Created: 2024-12-06T22:22:29.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-10T14:19:54.000Z (10 months ago)
- Last Synced: 2025-02-09T08:19:29.047Z (8 months ago)
- Topics: drugs, language-model, machine-learning, nlp-machine-learning, xgboost-classifier
- Language: Jupyter Notebook
- Homepage:
- Size: 4.45 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0