{"schema_version":"secwatch.filing_event.v1","accession":"0001493152-26-009463","form_type":"8-K","ticker":"BIAF","cik":"0001712762","company_name":"bioAffinity Technologies, Inc.","filed_at":"2026-03-10T23:59:59+00:00","discovered_at":"2026-05-14T18:02:35.978686+00:00","generated_at":"2026-05-15T16:46:24.671478+00:00","sec_items":["8.01","9.01"],"event_type":"other_material","sentiment":"positive","materiality_score":0.7,"calibrated_materiality_score":0.7,"confidence":"high","headline":"bioAffinity initiates 2K-patient longitudinal study for CyPath Lung diagnostic","bullets":["2,000-patient longitudinal study to evaluate CyPath Lung for early lung cancer detection in high-risk patients with nodules 6-29mm.","Study will include up to 20 sites, including a dozen VA medical centers and two large military hospitals.","Earlier trial showed 92% sensitivity, 87% specificity, 88% accuracy in detecting lung cancer in nodules <20mm.","Enrollment expected up to 18 months; patients followed up to 24 months or until definitive diagnosis.","Murtha Cancer Center Research Program provides support and funding for federal facilities."],"urls":{"canonical":"https://secwatch.observer/filing/0001493152-26-009463","json":"https://secwatch.observer/filing/0001493152-26-009463.json","markdown":"https://secwatch.observer/filing/0001493152-26-009463.md","text":"https://secwatch.observer/filing/0001493152-26-009463.txt","edgar_index":"https://www.sec.gov/Archives/edgar/data/1712762/000149315226009463/0001493152-26-009463-index.htm","edgar_primary_document":"https://www.sec.gov/Archives/edgar/data/1712762/000149315226009463/form8-k.htm"},"model":{"generated_by":"deepseek-v4-flash:cloud@v2","generated_at":"2026-05-15T16:46:24.671478+00:00"},"review":{"review_status":"machine_generated","human_reviewed":false,"corrected":false,"correction_note":null,"correction_timestamp":null,"superseded_by":null,"related_filings":[]},"source_grounded_claims":[],"license":"Source filings: public domain (SEC EDGAR). Summaries (headline + bullets): CC-BY-4.0; attribute https://secwatch.observer"}