Precision Oncology
Tumor Molecular Profiling
TMB Assessment
class MolecularProfiler:
def compute_tmb(self, mutations, sequenced_bases_mb):
return len(mutations) / sequenced_bases_mb
def predict_immunotherapy_response(self, features):
score = (0.3 * min(features.get('tmb', 0) / 20, 1.0) +
0.25 * features.get('pdl1_tps', 0) / 100 +
0.2 * features.get('immune_infiltration', 0) +
0.15 * (1 if features.get('msi') == 'MSI-High' else 0))
return min(score, 1.0)
Immunotherapy Response Prediction
Neoantigen Prediction
Biomarker Integration
Targeted Therapy Selection
| Mutation | Drug | Evidence |
|---|---|---|
| EGFR L858R | Osimertinib | Level 1A |
| BRAF V600E | Dabrafenib | Level 1A |
| ALK fusion | Crizotinib | Level 1A |