Aspira Women’s Health and Cleveland Clinic Expand Strategic Collaboration to Advance AI-Powered Diagnostics in Women’s Health
Collaboration aims to accelerate biomarker discovery, strengthen translational research capabilities, and support scalable clinical validation
AUSTIN, Texas, and CLEVELAND, Ohio, May 26, 2026 — Aspira Women’s Health Inc. (OTCQX: AWHL) (“Aspira” or the “Company”), a bio-analytical company focused on the development of AI-powered, noninvasive diagnostics for women’s health, and Cleveland Clinic have signed an agreement to improve women’s health diagnostics.
Under the terms of this Master Collaboration and License Agreement, Aspira and Cleveland Clinic will collaborate on research projects focused on the discovery and validation of novel biomarker signatures and the development of advanced analytical models intended to improve diagnostic accuracy, clinical utility, and patient care. The agreement also establishes a framework for future platform expansion, including biomarker discovery, data generation, translational development, intellectual property collaboration, and clinical research initiatives.
The organizations aim to expand patient sample access, enhance clinical validation capabilities and support the accelerated development and future commercialization of next generation multiomic diagnostics across women’s health.
“This collaboration marks an important inflection point for Aspira as we continue executing against our strategy to build a category defining women’s health diagnostics platform,” said Mike Buhle, Chief Executive Officer of Aspira Women’s Health. “Over the past year, we have focused on expanding our scientific capabilities, operational foundation, and long-term commercial strategy. Collaborating with Cleveland Clinic significantly enhances our ability to drive meaningful advances in women’s health diagnostics.”
The initiative will be jointly led by Kevin Elias, M.D., Cleveland Clinic, and Todd Pappas, Ph.D., Aspira Women’s Health, alongside multidisciplinary translational research teams. “We believe the integration of multiomic biomarkers with advanced AI-driven analytics represents a highly promising frontier in precision diagnostics,” said Dr. Elias, Lilli and Seth Harris Endowed Chair for Ovarian Cancer Research at Cleveland Clinic. “We have already demonstrated the potential of this approach to improve ovarian cancer diagnostics, and we believe it can be applied more broadly across women’s health. This collaboration brings together complementary scientific, clinical, translational, and commercial expertise with the shared goal of advancing more accurate noninvasive tools that can meaningfully improve patient care and clinical decision-making.”
“We believe this collaboration strengthens our position at the intersection of women’s health, artificial intelligence, and precision medicine, while enhancing our ability to generate clinically meaningful data through expanded research access and collaboration with one of the world’s premier healthcare and research institutions,” said Michelle Snider, SVP Product Commercialization and Innovation.