Stanford Medicine study identifies distinct brain organization

Stanford Medicine researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.

Frontiers Proceedings of the 11th Annual Deep Brain Stimulation Think Tank: pushing the forefront of neuromodulation with functional network mapping, biomarkers for adaptive DBS, bioethical dilemmas, AI-guided neuromodulation, and translational

Stanford University School of Medicine on LinkedIn: Brain fog after COVID-19 has similarities to 'chemo brain,' Stanford-led…

Lianna Wat, PhD, Nominated for Lindau Nobel Laureate, Department of Pathology

Benjamin Ryan on X: New research on sex-specific brain patterns: A study by @Stanford researchers used an AI model that was more than 90% accurate in determining whether scans of brain activity

Hotspots that most helped the model distinguish male brains from female ones include the default mode network, a brain system that helps us process self- referential information, and the stratum and limbic

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Identification of risk genes for Alzheimer's disease by gene embedding - ScienceDirect

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How the Mind Emerges from the Brain's Complex Networks

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Frontiers Proceedings of the 10th annual deep brain stimulation think tank: Advances in cutting edge technologies, artificial intelligence, neuromodulation, neuroethics, interventional psychiatry, and women in neuromodulation

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