TNF Pharmaceuticals and Renova Health Utilize AI to Accelerate Drug Development

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Machine learning technology used to identify patients for studies of muscle mass preservation during GLP-1 treatment

BALTIMORE, April 22, 2025--(BUSINESS WIRE)--TNF Pharmaceuticals, Inc. (Nasdaq: TNFA) ("TNF" or the "Company"), a clinical stage biopharmaceutical company committed to developing novel therapies for autoimmune and inflammatory conditions, and Renova Health announce the application of AI and machine learning technologies to identify high-risk patient groups that may benefit the most from interventions that preserve lean muscle mass during GLP-1 treatment for diabetes, weight loss, and chronic weight management. In keeping with FDA’s recent draft Guidance on using Artificial Intelligence, the TNF-Renova partnership is analyzing data from 30,000 patients to identify high-risk patients. TNF plans to use these data to optimize appropriate patient recruitment, accelerating isomyosamine drug development.

"Our collaboration partner, Renova Health has used its AI and machine learning technology platform to analyze and identify optimal patient pools and study sites, enabling a swift and efficient progression of our study series over the coming months," said Mitchell Glass, M.D., President and Chief Medical Officer of TNF Pharmaceuticals. "This technology has allowed us to look at the constellation of underlying conditions, symptoms, acute events, and medications being taken across thousands of patients to identify specific patient subsets for which isomyosamine treatment may be most beneficial."

Renova Health’s proprietary AI and machine learning technology—including a cutting-edge natural language processing (NLP) and large language model (LLM) platform—offers key benefits to TNF Pharmaceuticals including the ability to quickly review thousands of patient records to identify a target population that may benefit from isomyosamine. This target population consists of patients who have underlying chronic diseases, such as diabetes, COPD, chronic kidney disease, or sarcopenia/frailty, have suffered an acute medical event associated with inflammation (such as a fall or bone fracture), and are taking GLP-1 medications.

"We are thrilled to collaborate with TNF Pharmaceuticals to advance precision medicine through our cutting-edge NLP, LLM, and AI platform," said David Jacobs, CEO of Renova Health. "Our technology transcends traditional big data analytics by creating highly specific patient personas, identifying optimal cohorts for isomyosamine based on underlying conditions, acute events, and medication profiles. Furthermore, our platform uncovers the nuanced impact of individual physician practices—such as varying diagnosis codes for GLP-1 prescriptions, like BMI versus diabetes—which can significantly influence cohort selection and study outcomes. This unparalleled precision enables TNF Pharmaceuticals to target patients who stand to benefit most, accelerating study timelines and enhancing therapeutic impact."