Huxley Medical Expands SANSA Platform with New Diagnostic Features

Jun 11, 2026
Huxley Medical has added SANSA GO, a point of care enrollment model, and a new cardiovascular risk marker called hypoxic burden to its SANSA diagnostic platform. The updates expand the system's use for sleep apnea and cardiac monitoring.

Huxley Medical has expanded its SANSA diagnostic platform with two new additions: SANSA GO and a cardiovascular risk marker called hypoxic burden, announced in a press release.

SANSA GO is a point of care enrollment model that allows clinics to provide the SANSA device directly during patient visits. It complements the existing SANSA Express home enrollment option and is designed to match the operational flexibility of cardiac monitoring programs. The SANSA platform, cleared by the FDA, measures electrocardiograms, obstructive sleep apnea, and central sleep apnea using a single chest patch.

The new hypoxic burden feature adds a measure of cardiovascular strain linked to sleep apnea. In a study of 325 patients, those with cardiovascular disease and arrhythmias were more than twice as likely to show elevated hypoxic burden levels. Findings from the study will be presented at the SLEEP 2026 meeting in Baltimore.

Both SANSA GO and the hypoxic burden feature will be available nationwide during the SLEEP 2026 meeting, scheduled for June 14 to 17.

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:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

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

AI Token Webinar

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

You may also like

Free, six days a week

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