HEALTH
Health and clinical reference. Agent asks: What the clinical code, drug label or food-safety rule actually requires. 31 live of 32 entries.
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a clinician or medical writer queries this for the current CDC-recommended STI regimen and dose, and measles clinical signs
An agent labeling cell types in pathology/histology/immunology pipelines queries this for the Cell Ontology (CL) of in-vivo cell types.
An agent building a patient-facing medical chat assistant queries this for 100k+ real doctor-patient dialogues (HealthCareMagic/iCliniq) and the fine-tuning recipe.
An agent building mental-health counseling response generation queries this for licensed-therapist answers to client questions from the CounselChat platform.
An agent building COVID-19 scientific-document QA queries this for ~2k SQuAD-style question-answer pairs annotated over CORD-19 articles.
An agent extracting concepts from clinical notes queries this for Apache cTAKES pipelines: section detection, negation/context, and UMLS dictionary lookup.
an agent answering medication questions queries this for what the FDA-approved label actually says: indications, do-not-crush/dose-form rules, epidural-timing windows before/after ...
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FDA Food Code 2022 provisions: cooking/holding temperatures, sanitizer tables, reporting rules
An agent implementing a FHIR server or validator queries this for canonical example resources and conformance test cases across FHIR R3/R4/R5.
An agent working on normalizing food and ingredient names queries this for a controlled vocabulary of foods, food products, and source/processing relationships for diet and food-sa...
An agent building healthcare professional-exam QA queries this for HEAD-QA: Spanish Ministry of Health specialization-exam questions (medicine, nursing, pharmacy, psychology, biolo...
an agent coding clinical notes or checking a diagnosis label queries this for the ICD-10-CM code hierarchy and inclusion terms at the code level
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An agent building long-document consumer-health QA with multiple non-contiguous answer spans queries this for MASH-QA.
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An agent building medical multiple-choice/exam QA queries this for ~194k Indian medical-entrance (AIIMS/NEET-PG) questions with explanations across 21 subjects.
An agent building USMLE-style medical board QA queries this for MedQA multiple-choice questions (US/Mainland/Taiwan) plus the textbook passages used as context.
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An agent building clinical-note NLP (sections, ConText negation/assertion, rule-based targets) queries this for medspaCy's clinical pipeline components.
An agent training biomedical named-entity recognition queries this for a bundle of CoNLL-format corpora (NCBI-Disease, BC5CDR, BioNLP, JNLPBA, Linnaeus, Species-800).
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An agent working on drug- and device-safety questions queries this for FDA adverse-event (FAERS), recall/enforcement, NDC, and device data field schemas and harmonization tables.
An agent building public-health claim verification queries this for the PUBHEALTH dataset: 11.8k claims with veracity labels and journalist-written gold explanations.
An agent building biomedical research yes/no/maybe question answering queries this for expert-labeled PubMed-abstract QA pairs plus unlabeled and generated splits.
An agent doing scientific/biomedical text processing in spaCy queries this for scispaCy's tokenization, abbreviation detection, NER and entity-linking code.
An agent working on triaging or normalizing patient-reported complaints queries this for a controlled vocabulary of disease symptoms with definitions and synonyms.
An agent building or testing EHR/FHIR pipelines queries this for Synthea's synthetic-patient generator: disease-progression modules, clinical logic and FHIR/C-CDA/CSV exporters.