Cognision and SOMNOmedics Partner to Enhance Sleep Biomarkers in Clinical Trials

Sep 24, 2025
Cognision has announced a strategic partnership with SOMNOmedics to provide advanced sleep diagnostics technology for pharmaceutical clinical trials, according to a press release.

Cognision has announced a strategic partnership with SOMNOmedics to advance sleep biomarkers in pharmaceutical clinical trials, announced in a press release. This collaboration will see Cognision integrating SOMNOmedics' next-generation polysomnography (PSG) solutions into its offerings, specifically designed for the rigorous demands of pharmaceutical-sponsored clinical trials.

The partnership combines Cognision's expertise in neurophysiological assessments with SOMNOmedics' compact and mobile PSG technology. This integration aims to provide an end-to-end solution for sponsors requiring precise sleep architecture data in therapeutic trials. The collaboration will enable the integration of robust sleep biomarkers into trials for drugs treating abnormal sleep conditions or those that may interfere with healthy sleep.

SOMNOmedics' PSG systems are recognized for their signal quality and adaptability, suitable for both inpatient and home use, which supports decentralized clinical trials. All PSG data will be managed within Cognision's cloud-based Clinical Trial Data Management System, offering near real-time access for sponsors to facilitate faster decision-making and adaptive trial designs.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.