Market research
BIAF bioAffinity Technologies, Inc.
NASDAQ USD Healthcare
Latest close
As of 29 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 4M
- P/E ratio
- Not available
- Analyst target
- 6
- Dividend yield
- Not available
- Beta
- -1.25
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Healthcare
- Industry
- Diagnostics & Research
- ISIN
- Not available
- Market cap
- 4M
- P/E ratio
- Not available
- Analyst target
- 6
- Dividend yield
- Not available
- Beta
- -1.25
About
About bioAffinity Technologies, Inc.
bioAffinity Technologies, Inc. engages in developing non-invasive diagnostic laboratory tests to detect early-stage lung cancer and other diseases of the lung using flow cytometry and automated analysis in the United States. The company operates through two segments: Diagnostic Research and Development; and Laboratory Services. The company offers CyPath lung which uses flow cytometry technology to detect and analyze cell populations in a person's sputum, or phlegm, to find characteristics indicative of lung cancer, including cancer and/or cancer-related cells that have shed from a lung tumor. The company has a collaboration with Brooke Army Medical Center to evaluate its proprietary tests under development to identify inflammatory biomarkers for asthma and chronic obstructive pulmonary disease. bioAffinity Technologies, Inc. was incorporated in 2014 and is based in San Antonio, Texas.
Research context
bioAffinity Technologies, Inc. appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Healthcare
- Industry
- Diagnostics & Research
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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