Learning Path: Biotech & Drug Development
This path takes you from model foundations through practical discovery and trial design, ending with regulatory-readiness patterns for AI-assisted pharma projects.
1. Foundations
Understand sequence and structure predictors, embeddings, and where biological priors matter.
2. Discovery
Apply target ID, in silico triage, and generative design for lead candidates.
3. Preclinical & Optimization
Evaluate ADME/Tox predictions, synthetic accessibility, and prioritization heuristics.
4. Trials
Use cohort selection models, simulation, and monitored pilots to improve trial efficiency.
5. Regulatory
Design validation packages, provenance records, and human-in-loop governance for submissions.