the Dime Medicine Association (Dime) has announced that it is cooperating with alcohol and drug services (ADS), Duke University, Google Fitbit, Morse clinics, North Carolina Central University, ōrara, Proterpilot, Triangle Cersi, North Carolina University in Chaplin Hill (UNC).
The partnership aims to use the data collected from wearable devices for consumers to reduce the death of the UND disorder (Oud) by creating interventions to help prevent relapse.
According to 2023 The National Survey on drug use by the Department of Narcotics and Mental Health Services (SAMHSA), among the people between the ages of 12 years or older in 2023, suffer from the disorder of the use of opiates in the past year.
The partners will cooperate to describe and collect physiological signals and behavior features, including heart rate, insomnia, physical pin and physiological stress, which can predict adaptation and measured by techniques that can be worn.
Researchers will use smartphones to collect mental health characteristics such as social isolation, patient anxiety and depression. Data points training tool to prevent opium relapse.
The team will follow the research that it leads jointly by the Grand Ideas Laboratory at Duke University and the recruitment of patients to conduct a experimental study to test the approach and ensure that their methods get ideal quality data to develop a relapse prevention tool.
“Ooud is a complex challenge, and the complex challenges require innovative cooperation and solutions,” Kandis Tajweby, director of a participant in Dime, said in a statement.
“Our team is working to integrate many issues that play for those who face mental health, social support, treatment options, financing, access to technology, social stigma, and more – and build a tool that can change Oud’s arc beneficially and save thousands of lives.”
Xiamal Patel, Vice President of Science in Ura, confirmed that taking advantage of technological developments to develop evidence -based protocols for people who live with the oud will put these interventions for success.
“We are proud to support this study by providing continuous health monitoring and data -based personal visions. This can enable individuals to take proactive steps in their recovery, which may reduce the burden on our excessive public health systems and provide a decisive tool in combating the opiate epidemic,” Patel said in a statement.
The biggest direction
In March, Dime and Google Health has provided a free online course for medical professionals, researchers, officials and innovators to learn the basics of obstetric artificial intelligence, LLMS models and cases of techniques in health care.
the The AI Healthcare Healthcares course provides stakeholders with LLMS and its applications in the field of health care. In addition, the participants will get an insight into the Technician IQ technology, develop quick engineering skills and explore how AI can support decision -making in clinical environments.
In 2024, South Korea researchers built automatic educational models that could predict mood rings using the resulting rhythm data and only biological rhythm of wearable devices.
The team composed researchers from the Basic Science Institute (IBS), the Korean Institute of Science and Technology (Kaist) and the Faculty of Medicine at the University of Korea.
In a study published in nature The Digital Medicine Magazine collected the research team for the first time and the analysis of sleep data for 429 days created from Vittef from 168 Korean patients with mood disorders, including severe depression and dual -pole disorders.
The research team extracted 36 features of sleeping rhythm and daily rhythm from this data collection, which was then applied to train models based on the XGBOST machine to predict mood rings.
The results revealed that the predictive models achieved a resolution of 80 %, 98 % and 95 % in predicting depressive rings, obsession and offensive, respectively.
In the same year, OURA closed a $ 200 million financing tour, led by Fidelity Management & Research Company and Dexcom. Investment raised the company’s evaluation to $ 5.2 billion.
In November 2024, it was made de xcom A $ 75 million strategic investment in Ura and has established a strategic partnership that enabled dual -direction data flow between the continuous glucose screen from Dexcom (CGM) and the OURA episode. Investment at that time raised the evaluation of Ura to more than $ 5 billion.