NewsAI Program Detects Sex-Related Differences in Brain Structureby New York UniversityThese findings emphasize the need for diversity among individuals involved in neurological and psychiatric research
Resource GuideLeveraging AI Tools to Navigate and Integrate Big Databy Thermo Fisher ScientificInnovative AI solutions help manage large volumes of data with ease and reliability
NewsAI Found to Triage ER Patients as Effectively as Physiciansby University of California - San FranciscoResearchers at UCSF used thousands of ER records to evaluate an AI model’s ability to extract symptoms from notes and determine how immediately they needed treatment
NewsSimulated Chemistry: New AI Platform Designs Tomorrow’s Cancer Drugsby University of California - San DiegoThe new platform helped UC San Diego scientists synthesize 32 potential multi-target cancer drugs
NewsAI Helps Speed Up Rare Immune Disorder Diagnoses, Potentially Improving Outcomesby University of California - Los AngelesMachine learning tool identifies potential CVID cases earlier, enhancing treatment and reducing healthcare costs
NewsDeveloping an AI Model to Reduce Uncertainty in Evapotranspiration Predictionby University of Illinois College of Agricultural, Consumer and Environmental SciencesNew AI model DyLEMa will allow for accurate prediction of evapotranspiration that accounts for land cover dynamics
NewsArtificial Intelligence Helps Scientists Engineer Plants to Fight Climate Changeby Salk InstituteDeep learning software called SLEAP used to analyze plant features, accelerating design of climate-saving plants
NewsAI Tool Creates ‘Synthetic’ Images of Cells for Enhanced Microscopy Analysisby University of California - Santa CruzResearchers develop software that assists in differentiation between individual cells and backgrounds
NewsWomen’s Heart Disease Is Underdiagnosed, but New AI Models Can Help Remedy Thisby FrontiersMachine learning allows for more accurate predictions of heart disease risk, highlights need for sex-specific criteria
NewsAI Tool Predicts Responses to Cancer Therapy Using Info from Each Tumor Cellby Sanford Burnham Prebys Medical Discovery InstituteStudy showcases the power of machine learning to predict therapy outcomes using rich information from single-cell omics