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pkpd-modeling
【数据与研究】Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, …
pytdc
【数据与研究】Provides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.
beautiful-prose
【效率与协作】A hard-edged writing style contract for timeless, forceful English prose without modern AI tics. Use when users ask for prose or rewrites that must be clean, exact, concrete, and free of AI cadence, filler, or therapeutic tone.
indication-dossier
【效率与协作】Generate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.
tooluniverse-cancer-variant-interpretation
【效率与协作】Clinical interpretation of somatic cancer mutations for precision oncology. Transforms a gene + variant + cancer-type input into an actionable report: clinical evidence tier (CIViC, OncoKB), therapeutic options (FDA-approved + investigational), resistance mechanisms, prognosis, and matching clinical trials. Use for tumor-board variant calls, somatic-…
tooluniverse-multiomic-disease-characterization
【数据与研究】Comprehensive disease characterization across genomics, transcriptomics, proteomics, and pathways for systems-level understanding. Identifies therapeutic opportunities and biomarker candidates by integrating multi-layer molecular data. Use for full-omics disease deep-dive reports, mechanism mapping, and biomarker-and-target identification from multi-…
tooluniverse-precision-medicine-stratification
【数据与研究】Patient stratification for precision medicine — integrate genomic, clinical, and therapeutic data to split patients into responder/non-responder groups, risk tiers, or treatment-decision groups. Use for stratification-by-biomarker, treatment-selection logic, and personalized therapeutic strategy reports per patient subgroup.
tooluniverse-cancer-variant-interpretation
【效率与协作】Clinical interpretation of somatic cancer mutations for precision oncology. Transforms a gene + variant + cancer-type input into an actionable report: clinical evidence tier (CIViC, OncoKB), therapeutic options (FDA-approved + investigational), resistance mechanisms, prognosis, and matching clinical trials. Use for tumor-board variant calls, somatic-…
tooluniverse-multiomic-disease-characterization
【数据与研究】Comprehensive disease characterization across genomics, transcriptomics, proteomics, and pathways for systems-level understanding. Identifies therapeutic opportunities and biomarker candidates by integrating multi-layer molecular data. Use for full-omics disease deep-dive reports, mechanism mapping, and biomarker-and-target identification from multi-…
tooluniverse-precision-medicine-stratification
【数据与研究】Patient stratification for precision medicine — integrate genomic, clinical, and therapeutic data to split patients into responder/non-responder groups, risk tiers, or treatment-decision groups. Use for stratification-by-biomarker, treatment-selection logic, and personalized therapeutic strategy reports per patient subgroup.
tooluniverse-cancer-variant-interpretation
【效率与协作】Clinical interpretation of somatic cancer mutations for precision oncology. Transforms a gene + variant + cancer-type input into an actionable report: clinical evidence tier (CIViC, OncoKB), therapeutic options (FDA-approved + investigational), resistance mechanisms, prognosis, and matching clinical trials. Use for tumor-board variant calls, somatic-…
tooluniverse-multiomic-disease-characterization
【数据与研究】Comprehensive disease characterization across genomics, transcriptomics, proteomics, and pathways for systems-level understanding. Identifies therapeutic opportunities and biomarker candidates by integrating multi-layer molecular data. Use for full-omics disease deep-dive reports, mechanism mapping, and biomarker-and-target identification from multi-…
tooluniverse-precision-medicine-stratification
【数据与研究】Patient stratification for precision medicine — integrate genomic, clinical, and therapeutic data to split patients into responder/non-responder groups, risk tiers, or treatment-decision groups. Use for stratification-by-biomarker, treatment-selection logic, and personalized therapeutic strategy reports per patient subgroup.
open-targets
【效率与协作】Query the Open Targets Platform GraphQL API for gene-drug-disease associations, evidence scores, and therapeutic target validation. Use when the user needs disease associations for a gene, drug evidence for a target, or target prioritization for a disease. NOT for compound property lookup (use pubchem-compound), NOT for bioactivity measurements (use …
Therapist
【效率与协作】Evidence-based therapeutic techniques — CBT, ACT, mindfulness, and reframing for anxiety, rumination, and behavioral patterns.
admet-prediction
【数据与研究】Apply Admet Prediction in computational biology and life sciences. Use when analyzing biological data, developing therapeutics, or building bioinformatics pipelines. This skill covers methodologies, tools, and applications in admet prediction.
ai-coloring-page
【设计与创意】Generate printable coloring pages using each::sense AI. Create line art illustrations perfect for coloring books, children's activities, adult relaxation coloring, educational worksheets, and therapeutic art. Supports simple children's designs, detailed mandala patterns, and complex adult coloring pages. Use for: coloring books, children's activities…
antibody-humanizer
【开发与工程】Humanize murine antibody sequences using CDR grafting and framework optimization to reduce immunogenicity while preserving antigen binding. Predicts optimal human germline frameworks and identifies critical back-mutations for therapeutic antibody development.