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UNITED
STATES
SECURITIES
AND EXCHANGE COMMISSION
Washington,
D.C. 20549
FORM
8-K
CURRENT
REPORT
Pursuant
to Section 13 or 15(d) of the Securities Exchange Act of 1934
Date
of Report (Date of earliest event reported): July 27, 2026
bioAffinity
Technologies, Inc.
(Exact
name of registrant as specified in its charter)
| Delaware |
|
001-41463 |
|
46-5211056 |
(State
or other jurisdiction
of
incorporation) |
|
(Commission
File
Number) |
|
(I.R.S.
Employer
Identification
Number) |
3300
Nacogdoches Road, Suite 216
San
Antonio, Texas 78217
(Address
of principal executive offices, including zip code)
(210)
698-5334
(Registrant’s
telephone number, including area code)
(Former
name or former address, if changed since last report)
Check
the appropriate box below if the Form 8-K filing is intended to simultaneously satisfy the filing obligation of the registrant under
any of the following provisions (see General Instruction A.2. below):
| ☐ |
Written
communications pursuant to Rule 425 under the Securities Act (17 CFR 230.425) |
| |
|
| ☐ |
Soliciting
material pursuant to Rule 14a-12 under the Exchange Act (17 CFR 240.14a-12) |
| |
|
| ☐ |
Pre-commencement
communications pursuant to Rule 14d-2(b) under the Exchange Act (17 CFR 240.14d-2(b)) |
| |
|
| ☐ |
Pre-commencement
communications pursuant to Rule 13e-4(c) under the Exchange Act (17 CFR 240.13e- 4(c)) |
Indicate
by check mark whether the registrant is an emerging growth company as defined in Rule 405 of the Securities Act of 1933 (§230.405
of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).
| Title
of each class |
|
Trading
Symbols |
|
Name
of each exchange on which registered |
Common
Stock, par value $0.007 per share
|
|
BIAF
|
|
The
Nasdaq Stock Market LLC
(Nasdaq
Capital Market) |
| |
|
|
|
|
| Warrants
to purchase Common Stock |
|
BIAFW |
|
The
Nasdaq Stock Market LLC
(Nasdaq
Capital Market) |
Indicate
by check mark whether the registrant is an emerging growth company as defined in in Rule 405 of the Securities Act of 1933 (§230.405
of this chapter) or Rule 12b-2 of the Securities Exchange Act of 1934 (§240.12b-2 of this chapter).
Emerging
growth company ☒
If
an emerging growth company, indicate by checkmark if the registrant has elected not to use the extended transition period for complying
with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act.
Item
8.01. Other Events.
On
July 27, 2026, bioAffinity Technologies, Inc., a Delaware corporation (the “Company”), issued a press release announcing
the publication of a comprehensive clinical review and white paper authored by the Company’s Chief Medical Officer, Gordon H. Downie,
MD, PhD, that presents a practical clinical framework for incorporating CyPath® Lung into pulmonary nodule evaluation
and cancer surveillance.
A
copy of the press release is attached hereto as Exhibit 99.1 and is incorporated herein by reference.
As
of July 24, 2026, there were 7,783,061 outstanding shares of the Company’s common stock and the aggregate market value of the Company’s
common stock was approximately $5.1 million based on the closing price of a share of the Company’s common stock on that date, as
reported by the Nasdaq Capital Market.
Item
9.01. Financial Statements and Exhibits.
Exhibit
Number |
|
Description |
| 99.1 |
|
Press Release issued by bioAffinity Technologies, Inc., dated July 27, 2026 |
| 104 |
|
Cover
Page Interactive Data File (embedded within the XBRL document) |
SIGNATURES
Pursuant
to the requirements of the Securities Exchange Act of 1934, as amended, the registrant has duly caused this Current Report on Form 8-K
to be signed on its behalf by the undersigned hereunto duly authorized.
| Date:
July 27, 2026 |
BIOAFFINITY
TECHNOLOGIES, INC. |
| |
|
| |
|
| |
By: |
/s/
Maria Zannes |
| |
Name: |
Maria
Zannes |
| |
Title: |
President
and Chief Executive Officer |
Exhibit
99.1
bioAffinity
Technologies Publishes New Clinical Framework Addressing Growing Market for Pulmonary Nodule Risk Stratification and Early Lung Cancer
Detection Using CyPath® Lung
Comprehensive
clinical review outlines specialty-specific approaches for integrating the test’s lung microenvironment analysis into diagnostic
pathway
Framework
includes protocols for pulmonology, primary care and oncology practices for detection of lung cancer and surveillance of survivors
SAN
ANTONIO, TX – July 27, 2026 – bioAffinity Technologies, Inc. (Nasdaq: BIAF; BIAFW), a biotechnology company focused
on noninvasive diagnostics and early cancer detection, today announced the publication of a comprehensive clinical review and white
paper authored by Chief Medical Officer Gordon H. Downie, MD, PhD, that presents a practical clinical framework for incorporating
CyPath® Lung into pulmonary nodule evaluation and cancer surveillance.
Titled
“Lung Nodules, Lung Microenvironment, Predictive Models and Clinician Risk Stratification Using CyPath® Lung
Testing for Early Diagnosis of Lung Cancer,” the paper examines the growing clinical challenge of evaluating pulmonary nodules
as lung cancer screening expands, incidental findings increase, artificial intelligence identifies even more incidental nodules, and
more patients require long-term surveillance following cancer treatment.
“Pulmonary
medicine is entering a new era in which clinicians are evaluating more pulmonary nodules than ever before, driving a rapidly growing
need for better risk stratification,” said Maria Zannes, President and Chief Executive Officer of bioAffinity Technologies. “Dr.
Downie’s white paper demonstrates how CyPath® Lung can provide physicians with clinically meaningful information
that complements imaging and clinical assessment, helping them make more confident decisions about which patients require invasive procedures
and which can be safely monitored.”
Drawing
on the three years of commercial experience since CyPath® Lung entered the market, the publication discusses how the noninvasive
test has demonstrated consistent clinical performance in helping physicians stratify malignancy risk and guide patient management, including
clinical case studies illustrating how CyPath® Lung helped clarify challenging cases in which imaging findings and predictive
models alone produced uncertain or conflicting assessments.
The
publication explores how advances in understanding the lung microenvironment are reshaping the evaluation of pulmonary nodules. Unlike
blood-based diagnostics, CyPath® Lung analyzes sputum collected directly from the lungs, providing objective, real-time
information from the lung microenvironment to help clarify complex or conflicting clinical presentations.
The
paper also reviews the strengths and limitations of existing predictive models and emphasizes that no single diagnostic tool should be
used in isolation. Instead, it proposes specialty-specific clinical pathways that integrate CyPath® Lung into three care
settings:
| ● | Primary
care practices managing incidentally discovered pulmonary nodules |
| ● | Pulmonary
nodule programs and interventional pulmonology practices evaluating patients for biopsy |
| ● | Oncology
practices conducting surveillance of cancer survivors |
“Every
patient presents a unique clinical picture,” Dr. Downie said. “The objective is not to replace clinician gestalt or existing
guidelines, but to provide an additional data point when clinical findings are uncertain or contradictory. CyPath® Lung’s
interrogation of the lung microenvironment gives physicians information that has not previously been available through traditional imaging
or blood-based testing.”
The
white paper highlights the growing recognition that the lung possesses a unique microenvironment distinct from blood, reflecting local
immune responses, inflammation, genetic alterations and tumor biology. By evaluating sputum directly from the lungs, CyPath®
Lung measures these biologic changes and identifies porphyrin-labeled malignant cells through proprietary flow cytometry and artificial
intelligence analysis.
The
complete white paper is available at https://bit.ly/cypath-lung-whitepaper3
About
CyPath® Lung
CyPath®
Lung by bioAffinity Technologies is a noninvasive test designed to improve the early detection of lung cancer in patients at high risk
for the disease. CyPath® Lung uses advanced flow cytometry and proprietary artificial intelligence (AI) to identify cell
populations in patient sputum that indicate malignancy. CyPath® Lung incorporates a fluorescent porphyrin that is preferentially
taken up by cancer and cancer-related cells. In a published clinical trial of high-risk patients, CyPath® Lung
demonstrated 92% sensitivity, 87% specificity, 88% accuracy and 99% negative predictive value (NPV) in detecting lung cancer in patients
at high risk for the disease who had small indeterminate lung nodules less than 20 millimeters. The high NPV gives physicians greater
confidence that a negative result is truly negative, potentially sparing patients from unnecessary invasive and costly procedures. CyPath®
Lung is marketed as a Laboratory Developed Test (LDT) and is not intended for use as a sole diagnostic tool and should be considered
alongside other clinical findings.
About
bioAffinity Technologies, Inc.
bioAffinity
Technologies, Inc. addresses the need for noninvasive diagnosis of early-stage cancer and other diseases of the lung and broad-spectrum
cancer treatments. The Company’s first product, CyPath® Lung, is a noninvasive test that has shown high sensitivity,
specificity and accuracy for the detection of early-stage lung cancer. CyPath® Lung is marketed as a Laboratory Developed
Test (LDT) by Precision Pathology Laboratory Services, a subsidiary of bioAffinity Technologies. LDTs are overseen under the Clinical
Laboratory Improvement Amendments (CLIA), which are administered by the Centers for Medicare & Medicaid Services. For more information,
visit www.bioaffinitytech.com.
Forward-Looking
Statements
Certain
statements in this press release constitute “forward-looking statements” within the meaning of the federal securities laws.
Words such as “may,” “might,” “will,” “should,” “believe,” “expect,”
“anticipate,” “estimate,” “continue,” “predict,” “forecast,” “project,”
“plan,” “intend” or similar expressions, or statements regarding intent, belief, or current expectations, are
forward-looking statements. These forward-looking statements are subject to various risks and uncertainties, many of which are difficult
to predict, that could cause actual results to differ materially from current expectations and assumptions from those set forth or implied
by any forward-looking statements. Important factors that could cause actual results to differ materially from current expectations include,
among others, the Company’s ability to achieve physician adoption of the clinical framework and specialty-specific pathways described
in the white paper, the assumption that expansion of lung cancer screening programs and increases in incidental pulmonary nodule findings
will result in increased demand for CyPath® Lung, the Company’s ability to expand its customer base across pulmonology,
primary care and oncology practices, the risk that competing diagnostic technologies including blood-based tests may achieve greater
market acceptance, and other factors discussed in the Company’s Annual Report on Form 10-K for the year ended December 31, 2025,
and its subsequent filings with the SEC, including subsequent periodic reports on Forms 10-Q and 8-K. Such forward-looking statements
are based on facts and conditions as they exist at the time such statements are made and predictions as to future facts and conditions.
While the Company believes these forward-looking statements are reasonable, readers of this press release are cautioned not to place
undue reliance on any forward-looking statements. The information in this release is provided only as of the date of this release, and
the Company does not undertake any obligation to update any forward-looking statement relating to matters discussed in this press release,
except as may be required by applicable securities laws.
Contact
bioAffinity
Technologies
Julie
Anne Overton
Director
of Communications
investors@bioaffinitytech.com