EXPLORE THE SCIENCE
TL;DR: A 2026 medRxiv preprint found that plasma p-tau217 AI models still separated amyloid-positive from amyloid-negative people across ADNI and A4, but calibration drift made the same probabilities less dependable for clinical decisions. Key Findings Calibra…
Read article
AI Brain Biomarkers Shift When Models Pick Different Features TL;DR: Across more than 12,000 participants and 13 outcomes, overlooked brain-connectivity features predicted cognition and psychiatric traits nearly as well as top-ranked features, but pointed to d…
Read article
A new study uses AutoML and blood DNA methylation data to identify novel gene biomarkers for diagnosing schizophrenia (SCZ) with high accuracy. Highlights: Biomarker Discovery: AutoML identified three schizophrenia-specific gene methylation biomarkers: IGF2BP1…
Read article
A 2016 study exploring whether machine learning can accurately predict criminality based solely on facial images has sparked debate on the social implications of such technology. The research, conducted by Chinese academics Xiaolin Wu and Xi Zhang, claims to b…
Read article
Depression is a growing mental health concern, especially among young adults. New AI-powered research offers a rapid, objective screening tool to identify those at high risk using eye tracking technology. This innovative approach could revolutionize early dete…
Read article
Research provides new evidence that generalized anxiety disorder (GAD) and depressive disorder (DD) have distinct patterns of brain activity. Machine learning analysis of EEG data reveals signature brain features that may enable more accurate diagnosis. Key Fa…
Read article
Scientists have developed a new way to identify hit songs that people will love by measuring listeners’ brain activity responses using machine learning AI. This approach was much more accurate than asking people if they liked each song. Key Facts: Researchers…
Read article