Results from an innovative new study conducted by a team of researchers at Geisel are the first to show that machine learning approaches can be used to identify potential substance use risk behavior, such as alcohol use, among social media users.
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Geisel in the News
Granite Geek: It’s Not All Doom-And-Gloom On The Antivaxx Front (Although There’s A Lot Of Doom And Gloom)—Concord Monitor
May 5, 2026Alpha-Gal Screening in Asymptomatic Patients Not Cost-Effective—Healio
April 29, 2026Dartmouth Health Research Suggests Increased Hesitancy in Post-Covid Era Toward Standard Childhood Vaccinations—Union Leader
April 28, 2026Maternal Chikungunya Infections Linked to Short and Long-Term Neurologic Problems in Babies—CIDRAP
April 27, 2026Endoscopic Procedure Can Help Slow Weight Rebound From Stopping GLP-1 Treatment: Study—Fierce Biotech
April 27, 2026Can Endoscopic Procedure Slow Post-GLP-1 Weight Rebound?—MedPage Today
April 27, 2026Want to Know if You Need Lifestyle Changes to Slow Down Alzheimer’s? A Group of Williamstown Seniors May be Using Their Phones for Clues—The Berkshire Eagle
April 26, 2026Procedure to Treat Type 2 Diabetes Helps Keep Off Weight After Patients Stop GLP-1 Drugs—Reuters
April 24, 2026Will Bargain-Basement Telehealth Visits Help Pharma Drive Drug Scripts?—STAT News
April 23, 2026As Psychedelics Bloom, New Yorkers March for ‘Cognitive Liberty’—Science Line
April 23, 2026
