Add BrightSurf on Google Email

Stanford Medicine


Studies show new drug to be effective in treating skin cancer, Stanford researchers say

A new study published in the New England Journal of Medicine shows that vismodegib is effective in treating basal cell carcinoma, a common cancer caused by sun exposure. Researchers found that patients with Gorlin syndrome who took vismodegib developed an average of two new tumors per year, compared to 29 in those taking placebo.

SourceStanford Medicine·JournalNew England Journal of Medicine·DateJun 6, 2012

Stanford study points to potential treatment for stroke

A Stanford study suggests a potential treatment for stroke by increasing the generation of new nerve cells in the brain. The compound, LM22A-4, was administered three days after a stroke and showed faster recovery of athletic ability in mice. This approach may be a more accessible alternative to stem-cell therapy.

SourceStanford Medicine·JournalStroke·DateApr 24, 2012

Stanford scientists discover drug side effects, interactions using new computer algorithm

Researchers at Stanford University School of Medicine have developed a computer algorithm to quickly identify true drug side effects and interactions from millions of patient reports. The method, which includes a list of dozens of prominent drug interactions, has been tested on patients' electronic health records and confirmed accurate.

SourceStanford Medicine·JournalScience Translational Medicine·DateMar 14, 2012

Women report feeling pain more intensely than men, says Stanford study of electronic medical records

A Stanford University School of Medicine study analyzing electronic medical records found that women report more intense pain than men across virtually every disease category. The researchers identified significant differences in pain intensity for conditions such as fibromyalgia, migraine, acute sinusitis, and cervical spine disorders.

SourceStanford Medicine·JournalJournal of Pain·DateJan 23, 2012

Stanford computer algorithm used to identify bladder cancer marker

Researchers at Stanford University have used a computer algorithm to find markers that predict how deadly bladder cancer will be, offering faster and more accurate analysis of cancer risk. The test can be performed by someone with little training and may help identify patients with the most aggressive subtype before it becomes invasive.

SourceStanford Medicine·JournalProceedings of the National Academy of Sciences·DateJan 17, 2012

Stanford team trains computer to evaluate breast cancer

A Stanford team developed a machine-learning-based method called Computational Pathologist (C-Path) to analyze breast cancer microscopic images, outperforming human evaluations. The model assesses 6,642 cellular factors and identifies structural features that matter in predicting patient survival.

SourceStanford Medicine·JournalScience Translational Medicine·DateNov 9, 2011

Caucasians who avoid sun exposure more likely to be vitamin D deficient, Stanford study suggests

A Stanford study found that Caucasians who avoid sun exposure have lower blood levels of vitamin D, with a 40% prevalence among all participants increasing to 53% and 56% among those wearing long sleeves and staying in the shade. The use of sunscreen did not significantly affect vitamin D levels due to insufficient application.

SourceStanford Medicine·JournalCancer Causes & Control·DateNov 3, 2011