Cure Cancer With AI

Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.

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    Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.

    Список инструментов сервера (15)

    Технические названия из tools/list. Нужны только разработчикам.

    search_oncologySearch a keyword across every Cure Cancer With AI dataset at once — research papers, news, blog posts, FDA approvals, and clinical trials — with results grouped by type. Use this first for broad discovery, then fetch a single record by id/slug/nctId for full detail.
    list_researchList peer-reviewed oncology research papers ingested from PubMed (abstracts, authors, journal, plain-language summaries). Filter by cancer type, treatment type, keyword, or publication date.
    get_research_paperFetch a single research paper by its internal id or PubMed id.
    list_newsList curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.
    list_blog_postsList editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.
    get_blog_postFetch a single blog post by slug, including the full article content.
    list_fda_approvalsList FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.
    list_clinical_trialsList clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.
    get_clinical_trialFetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.
    predict_ppiPredict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model. Returns label "1" (interacting) or "0" (non-interacting). Inference is CPU-bound and may take up to ~60s.
    predict_dtiPredict drug–target binding affinity as pKd (−log10 Kd; higher = stronger binding) using IBM MAMMAL. Inference is CPU-bound and may take up to ~60s.
    predict_clintoxPredict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s.
    search_compoundsFind pharmaceutical compounds two ways: by example drugs you already know (fuzzy-matched), or by setting target characteristics on a −4…+4 scale. Provide exactly one of `examples` or `preferences`. Use list_compound_characteristics for the available preference names.
    list_compound_characteristicsList the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds.
    mammal_healthCheck whether the IBM MAMMAL prediction model is loaded and ready. No API key required. Call this before predict_* tools if a prior prediction timed out.