Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
Category: Data Sciences
Stanford physician-programmer creates Coders Against COVID
A Stanford anesthesiologist co-founded a volunteer organization that maps COVID-19 testing locations and displays updated data about the pandemic.
“Instagram-like filter” labels molecular details in tumor images
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
AI predicts effective depression treatment based on brainwave patterns
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.
When AI is watching patient care: Ethics to consider
Ethical and legal issues accompany the potential benefits of using computer vision-based ambient intelligence in health care.
Computer models show promise for personalizing chemotherapy
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
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.