Add BrightSurf on Google Email

Stanford Medicine


Brain-wave pattern can identify people likely to respond to antidepressant, study finds

Researchers at Stanford Medicine have developed a brain-wave signature that can predict which individuals with depression are most likely to respond to sertraline, an antidepressant. The study used electroencephalography and AI to identify the pattern in participants before treatment, allowing clinicians to make informed decisions abou...

SourceStanford Medicine·JournalNature Biotechnology·DateFeb 10, 2020

Next generation of CAR-T cells possible

Researchers at Stanford University School of Medicine have developed a new approach to programming CAR-T cells that can prolong their activity and increase their effectiveness against human cancer cells. The technique uses ATAC-Seq to understand what happens when T cells become exhausted, and modifying CAR-T cells to restore balance in...

SourceStanford Medicine·JournalNature·DateDec 5, 2019

Key gene behind hallmark of Lou Gehrig's disease identified

Researchers at Stanford University School of Medicine have pinpointed the RPS25 gene as a key player in the formation of amyotrophic lateral sclerosis (ALS) protein aggregates. Inhibiting this gene's function reduced toxic protein levels by 50 percent, suggesting a potential target for treating ALS and extending lifespan.

SourceStanford Medicine·JournalNature Neuroscience·DateJul 29, 2019