Predicting-FDA-approvability
importedsoftware/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providing the possibility of whether a drug can enter clinical trial, be approved by government, or it is prone to be withdrawn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.
- 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
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Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
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Ruby scripts for the management and generation of AnodyneWiki content.
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- hermesdrugs
A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the…
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- appotepharmacy
Appote - Aplikasi POS Apotek
- api.github.com/repos/ChihHanHuang/Predicting-FDA-approvabilityretrieved 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 →
/v1/entries/43.json→ .entries["predicting-fda-approvability"]
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