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Precision Oncology Agent | Skills Pool

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Precision Oncology Agent

Fuse genomic variants, pathology findings, and clinical context to draft evidence-linked therapy options for tumor board review.

mdbabumiamssm24 스타2026. 2. 2.

직업
카테고리: 생물정보학

스킬 내용

At-a-Glance

description (10-20 chars): Tumor board copilot
keywords: oncology, genomics, OncoKB, therapy-ranking, evidence
measurable_outcome: Deliver a ranked therapy list with OncoKB/NCCN citations plus data-gap checklist for every case within 10 minutes of receiving inputs.

Inputs

vcf_path (hg38 preferred) plus optional CNV/fusion summaries.
pathology_report text for histology/grade/biomarkers.
clinical_context dict capturing tumor type, stage, prior lines, ECOG.

Outputs

Ranked treatment options (approved, off-label, clinical trials) with evidence strength + contraindications.
Variant interpretation table (pathogenicity, tier, therapy linkage).
Biomarker summary (TMB, MSI, PD-L1 if provided) and missing-test checklist.

Workflow

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Precision Oncology Agent

npx skills add mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-

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작성자: mdbabumiamssm
스타: 24
업데이트: 2026. 2. 2.
직업

이 페이지의 내용

Ingest & normalize: Harmonize gene symbols, genome build, and variant effects.
Annotate: Query OncoKB/NCCN + internal knowledge for actionability tiers.
Contextualize: Blend pathology + prior therapy info to filter contraindicated options.
Recommend: Present therapies ordered by evidence + patient fit; cite sources.
Gaps: Highlight assays or confirmations still required before treatment.

Guardrails

No autonomous treatment decisions—flag outputs as advisory.
Cite evidence rigorously (guideline version, publication).
Highlight resistance mechanisms and prior exposure conflicts.

References

See README.md for detailed workflow plus cited Nature Cancer study.

02

Inputs

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