The Digital Drugs Society (DiMe) introduced it’s partnering with Alcohol and Drug Providers (ADS), Duke College, Google Fitbit, Morse Clinics, North Carolina Central College, Ōura, ProofPilot, Triangle CERSI and the College of North Carolina at Chapel Hill (UNC).
The partnership goals to make use of knowledge collected from shopper wearables to decrease opioid use dysfunction (OUD) fatalities by creating interventions to assist stop relapse.
In line with a 2023 Nationwide Survey on Drug Use and Well being by the Substance Abuse and Psychological Well being Providers Administration (SAMHSA), amongst folks aged 12 or older in 2023, 2.0 % (or 5.7 million folks) had an opioid use dysfunction prior to now yr.
The companions will collaborate to explain and collect physiological indicators and conduct traits, together with coronary heart charge, insomnia, bodily inactivity and physiological stress, that may forecast relapse and be measured by wearable applied sciences.
Researchers will use smartphones to gather psychological well being traits equivalent to social isolation, patient-reported anxiousness and despair. The information factors practice a software to forestall opioid relapse.
The staff will proceed with analysis collectively led by Duke College’s BIG IDEAs Lab and enlist sufferers for a pilot research to check the method and make sure that their strategies get hold of optimal-quality knowledge to develop the relapse prevention software.
“OUD is a posh problem, and complicated challenges require modern collaboration and options,” Candice Taguibo, affiliate program director of DiMe, stated in a press release.
“Our staff is working to include the numerous points at play for these going through OUD – psychological well being, social assist, therapy choices, funds, entry to expertise, social stigma, and extra – and construct a software that may meaningfully change the arc of OUD relapse and save hundreds of lives.”
Shyamal Patel, senior vp of science at Oura, asserted that leveraging technological developments to develop evidence-based protocols for folks dwelling with OUD will place these interventions for achievement.
“We’re proud to assist this research by offering steady well being monitoring and customized, data-driven insights. This could empower people to take proactive steps of their restoration, probably lowering the burden on our overstretched public well being methods and providing a vital software within the battle in opposition to the opioid epidemic,” Patel stated in a press release.
THE LARGER TREND
In March, DiMe and Google Well being launched a free on-line course for medical professionals, researchers, directors and innovators to be taught the basics of generative AI, giant language fashions (LLMs) and the applied sciences’ use instances in healthcare.
The Generative AI for Healthcare course supplies stakeholders with an understanding of LLMs and their functions in healthcare. As well as, members will achieve insights into generative AI expertise, develop immediate engineering abilities and discover how AI can assist decision-making in medical settings.
In 2024, Researchers from South Korea constructed machine learning-based fashions that may predict temper episodes utilizing solely sleep and circadian rhythm knowledge from wearable units.
The staff comprised researchers from the Institute for Fundamental Sciences (IBS), Korea Superior Institute of Science and Know-how (KAIST) and Korea College Faculty of Drugs.
In a research printed in Nature’s Digital Drugs journal, the analysis staff first collected and analyzed 429 days’ price of sleep-wake knowledge generated from Fitbit of 168 Korean sufferers with temper issues, together with main despair and bipolar issues.
The analysis staff extracted 36 sleep and circadian rhythm options from this dataset, which have been then utilized to coach fashions based mostly on the machine studying library XGBoost to foretell temper episodes.
The findings revealed that the predictive fashions achieved 80%, 98% and 95% accuracy in predicting depressive, manic and hypomanic episodes, respectively.
That very same yr, Oura closed a $200 million Collection D funding spherical led by Constancy Administration & Analysis Firm and Dexcom. The funding raised the corporate’s valuation to $5.2 billion.
In November 2024, Dexcom made a $75 million strategic funding in Oura and established a strategic partnership that enabled two-way knowledge stream between Dexcom’s steady glucose monitor (CGM) and the Oura Ring. The funding on the time introduced Oura’s valuation to greater than $5 billion.
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