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gosset-ai
Profil créateur GitHub

gosset-ai

Vue par dépôt de 10 skills collectés dans 1 dépôts GitHub.

skills collectés
10
dépôts
1
mis à jour
2026-03-13
explorateur de dépôts

Dépôts et skills représentatifs

clinical-trial-design
Scientifiques médicaux (sauf épidémiologistes)

Assess clinical trial design feasibility for biopharma due diligence. Evaluates patient population, biomarker prevalence, endpoint selection, comparator analysis, enrollment projections, and regulatory precedent. Use when users ask about trial design, feasibility assessment, enrollment projections, endpoint strategy, or trial success probability.

2026-03-13
clinical-trials-search
Autres médecins

Search and analyze clinical trials for competitive intelligence. Find trials by drug, target, indication, sponsor, phase, or status. Use when users ask about clinical trials, enrollment, trial design, or competitive trial landscapes.

2026-03-13
competitive-intelligence
Scientifiques des données

Comprehensive competitive intelligence for biopharma assets and indications. Analyzes competitive landscape, pipeline positioning, differentiation, and market dynamics. Use when users ask about competitive landscape, market positioning, pipeline comparison, or competitive threats.

2026-03-13
deal-analysis
Analystes financiers et en placements

Analyze biopharma deals (M&A, licensing, collaborations) for due diligence and competitive intelligence. Evaluates deal terms, comparables, valuations, and strategic rationale. Use when users ask about deal analysis, transaction comparables, licensing terms, M&A valuation, or deal flow.

2026-03-13
drug-repurposing
Scientifiques médicaux (sauf épidémiologistes)

Identify drug repurposing candidates using target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, clinical data, safety profiles, and deal precedents. Use when exploring repurposing opportunities, new indications for approved drugs, or therapeutic alternatives.

2026-03-13
drug-target-validation
Scientifiques médicaux (sauf épidémiologistes)

Comprehensive computational validation of drug targets for due diligence. Evaluates targets across multiple dimensions — disease association, druggability, clinical precedent, safety, competitive landscape. Produces a quantitative Target Validation Score with GO/NO-GO recommendation. Use when users ask about target validation, druggability, or "is X a good drug target for Y?"

2026-03-13
literature-mining
Biologistes, autresScientifiques médicaux (sauf épidémiologistes)

Systematic literature mining and evidence synthesis for biopharma research. Automates literature search, screening, data extraction, and synthesis. Use when users ask for literature reviews, evidence synthesis, publication analysis, or systematic searches on a biomedical topic.

2026-03-13
patent-landscape
Spécialistes des opérations commerciales, autres

Analyze patent landscapes for biopharma assets, targets, and therapeutic areas. Covers prior art, freedom-to-operate, patent expiry, IP positioning, and competitive IP mapping. Use when users ask about patents, IP landscape, freedom to operate, patent cliffs, or exclusivity.

2026-03-13
Affichage des 8 principaux skills collectés sur 10 dans ce dépôt.
1 dépôts affichés sur 1
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