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gosset-ai
GitHub 제작자 프로필

gosset-ai

1개 GitHub 저장소에서 수집된 10개 skills를 저장소 단위로 보여줍니다.

수집된 skills
10
저장소
1
업데이트
2026-03-13
저장소 탐색

저장소와 대표 skills

clinical-trial-design
의학 과학자(역학자 제외)

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
기타 의사

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
데이터 과학자

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
재무 및 투자 분석가

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
의학 과학자(역학자 제외)

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
의학 과학자(역학자 제외)

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
기타 생물 과학자의학 과학자(역학자 제외)

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
기타 비즈니스 운영 전문가

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
이 저장소에서 수집된 skills 10개 중 상위 8개를 표시합니다.
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