Topic List : Big Data
Crowdsourcing autism data
Many areas across the globe have few autism experts, leading to delayed care for kids who live there. Stanford scientists have launched a crowdsourcing project to pinpoint such geographic gaps, and find ways to fill them.
Big data conference set for May 24-25
The two-day event at Stanford will focus on ways of using big data to advance precision health.
Team places third in data analysis contest
The Stanford-led team used the data to develop and validate a clinical decision score that identifies patients likely to experience benefits when undergoing intensive blood pressure treatment.
Stanford joins UC health-research alliance
Stanford has joined five University of California campuses to streamline research aimed at improving the health of the nation.
Foretelling ill health
New research from Stanford shows that fitness monitors and other wearable biosensors can tell when an individual’s heart rate, skin temperature and other measures are abnormal, suggesting possible illness.
Drug interactions that may reduce mortality
Stanford researchers found that certain drug combinations were associated with lower mortality rates among breast cancer patients, pointing to potential drug targets and new ways of thinking about known diseases.
Low-testosterone therapy and dementia
A new retrospective study of the health records of prostate cancer patients supports an association between androgen deprivation therapy and future risk of dementia.
Speeding diagnosis of genetic diseases
Stanford researchers are devising ways to have computers help perform some of the intensive genetic analysis now performed manually when scientists study a patient's genome to diagnose a disease.
Stanford, Google team up on health data
Stanford Medicine will use the power, security and scale of Google Cloud Platform to support precision health and more efficient patient care.
Precision data means diverse data
Speakers at Stanford’s annual big data conference said the success of precision health depends on data that reflects the global diversity of humans, the well and the unwell, and a rainbow of data from genomes, microbiomes and tissue samples.