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Could AI help primary care clinics spot risky drinking habits?

A study published by Michigan Medicine suggests that AI can help increase the chance of people with risky drinking patterns or signs of alcohol use disorder getting outreach and help. The NLP tool analyzed full text of health records and identified over 47,500 patients with some sign of risky drinking.

SourceMichigan Medicine - University of Michigan·JournalDrug and Alcohol Dependence·TypeExperimental study·DateDec 12, 2025
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An entire brain-machine interface on a chip: Converting brain activity to text on one extremely small integrated system

Researchers at EPFL developed a next-generation miniaturized brain-machine interface capable of direct brain-to-text communication on tiny silicon chips. The MiBMI system can decode neural signals generated when a person imagines writing letters or words with high accuracy and low power consumption.

SourceEcole Polytechnique Fédérale de Lausanne·JournalIEEE Journal of Solid-State Circuits·TypeMeta-analysis·DateAug 26, 2024

Researchers scour Twitter to analyze public attitudes about COVID-19 vaccinations

A study from the University of Illinois Chicago explores key themes and topics from COVID-19 vaccine-related tweets, identifying changes in public attitudes towards vaccination and concerns about effectiveness. The research provides insights for policymakers to frame policies and programs to accelerate vaccine uptake.

SourceUniversity of Illinois Chicago·JournalJMIR Infodemiology·DateApr 27, 2022