Watching what was happening around the world in early 2020, University of California San Diego School of Medicine researchers knew their region would likely soon be hit with a wave of patients with COVID-19, the infection caused by the coronavirus SARS-CoV-2.
How Your Phone Can Predict Depression and Lead to Personalized Treatment
According to the National Alliance on Mental Illness and the World Health Organization, depression affects 16 million Americans and 322 million people worldwide. Emerging evidence suggests that the COVID-19 pandemic is further exacerbating the prevalence of depression in the general population. With this trajectory, it is evident that more effective strategies are needed for therapeutics that address this critical public health issue.
In a recent study, publishing in the June 8, 2021 online edition of
, researchers at University of California San Diego School of Medicine used a combination of modalities, such as measuring brain function, cognition and lifestyle factors, to generate individualized predictions of depression.
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IMAGE: Researchers at UC San Diego, San Diego State University, and international collaborators have designed and validated a prediction model for overdose deaths. view more
Credit: UC San Diego Health Sciences
For two decades, the number of Americans who die each year from drug overdoses has steadily risen, from less than 20,000 in 1999 to more than 80,000 in 2020. By studying patterns of these drug-related fatalities, researchers at University of California San Diego School of Medicine, San Diego State University (SDSU), and international collaborators have designed and validated a prediction model to signal counties at risk of future overdose death outbreaks. The goal of the open-source tool is to predict and prevent deaths through early deployment of public health resources.
Researchers Test Model to Predict Drug Overdose Deaths in U.S.
For two decades, the number of Americans who die each year from drug overdoses has steadily risen, from less than 20,000 in 1999 to more than 80,000 in 2020. By studying patterns of these drug-related fatalities, researchers at University of California San Diego School of Medicine, San Diego State University (SDSU), and international collaborators have designed and validated a prediction model to signal counties at risk of future overdose death outbreaks. The goal of the open-source tool is to predict and prevent deaths through early deployment of public health resources.
Findings were published June 9, 2021 by
Researchers identify molecular mechanism for the anti-inflammatory activity of diabetes drug metformin and, in mouse studies, say it prevents lung inflammation in animals infected with SARS-CoV-2, the virus that causes COVID-19.