A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
Category: Data Sciences
Families find answers, and community, through the Undiagnosed Diseases Network
Through genetic tests and databases of symptoms, doctors in a network of clinical centers help families determine what is affecting their children's health.
Medical device safety in the real world: Tapping EHR data
Researchers at Stanford are mining millions of de-identified patient records using machine learning to determine long-term safety of medical devices.
Move quickly but safely: A view from inside the FDA
At a recent talk on campus, Amy Abernethy, an FDA principal deputy commissioner, discussed her career and her work to facilitate clinical advances.
Is that blood test really necessary? AI could help decide
Researchers at Stanford have devised an algorithm that predicts how likely a diagnostic test, when repeated, will yield useful information.
AI could help radiologists improve their mammography interpretation
Stanford researchers develop a machine-learning computer model for mammography assessment in hopes of aiding radiologists’ clinical decisions.
The makings of a data scientist, at Big Data in Precision Health
At day two of the Big Data in Precision Health conference, DJ Patil shared how he discovered data science and was hired by the Obama administration.
From Big Data in Precision Health: Humanwide added patient data to primary care
At the Big Data in Precision Health conference, clinicians discussed using patient health data to enhance primary care through the Humanwide pilot project.
Sleep science takes the stage at Big Data in Precision Health
Speakers at Stanford's Big Data in Precision Health conference discuss how their work with big data impacts and informs sleep research.
Stanford Medicine’s Big Data in Precision Health event returns
Stanford Medicine's Big Data in Precision Health conference unites people who create, study and use information from big data to improve health.
Countdown to Big Data in Precision Health: What’s the government’s role?
Before the Big Data in Precision Health conference, Don Rucker, the national coordinator for health IT, discusses the government's role in health data.
What healthy looks like: New study offers clues based on personalized tracking
Stanford scientists and their collaborators tracked the health of over 100 people for several years, flagging early signs of disease.
Countdown to Big Data in Precision Health: When industry and academia converge
Ahead of the Big Data in Precision Health conference, Emma Huang from Johnson & Johnson Innovations discusses collaborations between industry and academia.
Countdown to Big Data in Precision Health: Robots that are here to help
Maja Matarić, a robiticist at the University of Southern California, plans to speak about socially assistive robotics at Big Data in Precision Health.
Immune cell turned biomarker: Predicting severity of lung scarring
By scouting for a particular immune cell in the blood, scientists can tell which patients with a lung-scarring disease are at higher risk for death.
Untangling the microbiome — with statistics
Understanding the roles of various microbes in the human microbiome is challenging, but statistics can help, Stanford researcher Susan Holmes explains.