AI-Driven-Drug-Discovery-for-EGFR-TKI-Resistance-in-NSCLC-Using-Dual-SMILES-Models
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Updated
Jul 23, 2026 - Python
AI-Driven-Drug-Discovery-for-EGFR-TKI-Resistance-in-NSCLC-Using-Dual-SMILES-Models
The governance-native Agent OS. Cryptographically sealed 10-Law security, tri-model cognitive orchestration, and secure full-stack computer use with immutable CAC accountability.
Open-source computational biology microservice for modeling acquired drug resistance pathways and ranking clinical dual-target combination therapies in cancer.
Feedforward Artificial Neural Network (ANN) trained from scratch for high-sensitivity breast cancer diagnostic classification from biopsy measurements.
3rd generation egfr ligand core and fragment exchange generator to target resistant mutations
An AI-driven medical software suite for tracking hematic cancer metastasis, utilizing dynamic circulatory and anthropometric modeling to predict the spread, encystment, and tumor genesis of parasitic pycnogonid vectors.
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