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Predicting-FDA-approvability

imported

software/predicting-fda-approvability

The machine learning models providing the possibility of whether a drug can enter clinical trial, be approved by government, or it is prone to be withdrawn

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ai · drugs · machine-learning · pharmacy
Regulatory
unknown
built by · 2

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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sources
  1. api.github.com/repos/ChihHanHuang/Predicting-FDA-approvability
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-04, 6 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/43.json→ .entries["predicting-fda-approvability"]

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