Citizen science through an online computer game, EVE online, helps scientists better classify protein locations inside a cell.
The ratio between a certain types of immune cells is able to predict whether latent TB will shift into an active infection, new research has found.
A recent lecture by clinician-researcher Daniel Bernstein highlighted an imaging technique for assessing the diverse ways mitochondria behave within heart cells.
New technology developed at Stanford Medicine automatically identifies cell types and provides view of how cells interact with their environment.
A pilot trial shows that equipping Google Glass with a face-recognition app can improve social skills in kids with autism.
Propionate molecules made by intestinal bacteria inhibits growth of Salmonella and may be a promising new treatment for gut infections.
Adjunct Professor Caitlin O’Connell-Rodwell studies elephant vocalizations and vibrations to inform research on hearing, hearing loss and deafness.
How our brains blend cues from multiple senses to estimate our speed and position in space depends on where we are and how fast we seem to be moving.
Stanford researchers identify a new protein that can fully substitute for one of the key "Yamanaka factors" to reprogram adult stem cells.
Continuously monitoring blood sugar levels turns up new evidence to suggest that more people have sharp increases in their blood sugar than expected.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
What if you could stitch together single cells any way you wanted to? Potential medical and even industrial applications abound.
A former Stanford biodesign innovation fellow describes how he and colleagues came to develop an inexpensive and simple tool to diagnose arrhythmias.
A small magnetic wire that attracts nanoparticles engineered to stick to tumor cells may stand to detect cancer earlier.
John Ioannidis recommends a change to the standards of nutrition research studies, suggesting that, as they stand, the results are fairly unreliable.
Data analyst Jonathan Altamirano discusses living in Nicaragua as a child and how that inspired his current health research at Stanford.
