Molecular data identifies breast cancer subgroups likely to recur decades after successful treatment, predicts probable timing and location of metastases.
An antibody against the "don't eat me" signal on cancer cells appears safe and well-tolerated by patients with advanced cancers. A phase 2 trial is planned.
Using human embryonic stem cells to study nicotine's effect in development shows defects in cellular communication and longevity, say Stanford scientists.
Withdrawing or withholding invasive medical treatments to keep very ill patients in the ICU comfortable and communicative may not hasten their death.
Antibody-based hematopoietic stem cell transplants may transform the treatment of patients with blood and immune diseases including cancers.
Long non-coding RNAs are important but poorly understood regulatory elements. Now Stanford scientists have uncovered they play a role in autism.
Fragile DNA may be key to major evolutionary changes in species as diverse as fish and humans, Stanford researchers believe
Researchers leverage studies in fruit flies to identify a potential treatment for people with neurodegenerative disorder called spinocerebellar ataxia.
Proteins that guide transcription factors from the nuclear membrane to the DNA cause drug-resistant skin cancers and are new targets for drug development.
Honeybee royal jelly affects the developmental potential of mouse stem cells. A structurally similar protein in mammals could aid stem cell research.
Abdominal adhesions can have lasting, significant consequences. Now Stanford researchers have identified the cells responsible and a possible treatment.
DNA looping, or folding, directs a cell's developmental fate. Harnessing this 'DNA origami' could help researchers generate specific tissues for therapies.
Is extensive regeneration possible in humans? Stanford researchers show skeletal stem cells can move backward developmentally when major repairs are needed.
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes
A Stanford-designed computer algorithm helps doctors predict the lifespan of patients with metastatic cancer by looking for clues in their own exam notes.
Stanford researchers have learned that cancer cells can batter their way into new territory, rather than relying on dissolving chemicals.