HealthTech: Psychedelics to treat illness | AI in Healthcare

AI in healthcare

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Renewed focus on using psychedelics to treat illness

FLYOVER COUNTRY–Throughout the world, renewed investigations are taking place on the use of psychedelic substances for treating illnesses such as addiction, depression, anxiety and posttraumatic stress disorder (PTSD). Flyover Country is making significant movements in researching psychedelic medications. Among those at the forefront of that research are Wisconsin’s Transdisciplinary Center for Research in Psychoactive Substances; the Institute for Integrative Therapies (IIT) in Minnesota, which opened its new St. Paul clinic on May 1st; and the Healthy Mind Lab at Washington University School of Medicine in St. Louis.

AI can speed up ID process for clinical trials

PITTSBURGH, PA–UPMC is using tech to extract clinical notes to more quickly qualify participants for clinical trials. The health system uses natural language processing and AI to cull through identified and consented patient records to speed up the identification process for clinical trials. This is valuable because as many as 86% of clinical trials do not meet their recruitment goals using traditional, more manual methods of patient identification.

Personalized AI method for predicting acute kidney injury

KANSAS CITY, KS–Every year, one in five adults admitted to U.S. hospitals develops acute kidney injury (AKI), a serious condition in which the kidneys lose their ability to filter waste products from the blood. But if AKI is discovered and treated soon enough, it can be halted. Mei Liu Ph.D., assistant research professor at the University of Kansas Medical Center, has developed the first personalized artificial intelligence method to predict the risk of AKI in individual hospital patients.

Tech for driving improvement in social determinants

RALEIGH, NC–A new Healthy Communities tool is giving North Carolina community members, nonprofits, and government agencies free access to data and analytics to drive improvements in 21 key social determinants metrics. Spearheaded by the Cape Fear Collective, the public database, accessible here, provides neighborhood-level data, insights, and visualizations across all 100 counties and 2,195 census tracts in North Carolina.