NETRAMARK'S AI-BASED CLINICAL SOLUTION IDENTIFIES PARKINSON'S DISEASE SUBTYPES LINKED BY MITOCHONDRIAL, MICROBIOME AND IMMUNE SIGNALING

In This Article:

— Novel machine learning (ML) approach identifies genetic drivers within specific Parkinson's disease (PD) patient subpopulations and uncovers pivotal disease pathways, enhancing understanding of disease and treatment strategies 

— Data presented at the International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders (AD/PD™ 2024) 

TORONTO, March 11, 2024 /CNW/ - NetraMark Holdings Inc. (the "Company" or "NetraMark") (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: 8TV) a generative AI software leader in clinical trial analytics, announces the presentation of new data demonstrating the ability of its proprietary NetraAI clinical trial solution to untangle the intricate web of factors contributing to PD, offering insights applicable to other neurodegenerative disorders, including AD. Application of NetraAI to a dataset of 588 individuals provided by the Michael J. Fox Foundation identified multiple markers associated with PD pathogenesis, including several that are closely linked to the immune system and immune responses. The data was presented in a poster at AD/PD™ 2024, which took place March 5-9 in Lisbon, Portugal.

NetraMark Holdings Inc. logo (CNW Group/NetraMark Holdings Inc.)
NetraMark Holdings Inc. logo (CNW Group/NetraMark Holdings Inc.)

"The results of this analysis not only advance our understanding of PD but also offer a scientific foundation for future investigations into the role of immune-related factors in neurodegenerative disorders. They also provide new opportunities for improving clinical trials through patient enrichment," said Dr. Joseph Geraci, PhD, Founder and Chief Scientific Officer of NetraMark. "Our unique approach opens new avenues for the diagnosis and treatment of PD, and has tremendous potential to accelerate development of urgently needed therapies for PD and other debilitating neurological conditions."

The poster, titled "Using NetraAI to Discover Parkinson's Disease Subtypes: Generative AI Reveals Transcriptomic Personas Linking Mitochondrial, Microbiome, and Immune Signaling," reports the results of an analysis in which NetraAI was used to identify genetic drivers within specific PD patient subpopulations and uncover pivotal disease pathways. A transcriptomic data set assembled from 397 patients with PD and 191 controls was analyzed using NetraMark's AttractorAI algorithms to identify variables (called hypotheses) explaining specific subpopulations within the data set. Transcriptomic data comprises RNA transcripts and reflects which genes are expressed in each subpopulation.