Experts from academia, industry government and more came together at this year's Big Data in Precision Health conference to share successes, lessons and insights into how they're breaking down data to precisely advance health care and research.
Category: Big data
Countdown to Big Data in Precision Health: Understanding the hype and the hope for AI in health care
Dekel Gelbman, CEO of FDNA, speaks on the role of artificial intelligence in health care, and how he sees AI contributing to genetic diagnostic in particular.
Countdown to Big Data in Precision Health: Where machine learning and clinical care intersect
Jenna Wiens, an assistant professor at the University of Michigan, speaks to how big data, machine learning and health care intersect in advance of the Big Data in Precision Health conference at Stanford.
Countdown to Big Data in Precision Health: Breaking down data to improve health care
Jennifer Schneider, chief medical officer, breaks down her perspective on the intersection of technology and health care in preparation for this year's Big Data in Precision Health conference.
UK Biobank data opens up window into genetics of disease
A biobank from the U.K. releases hundreds of thousands of anonymized medical records and genetic data to scientists, who used it to track down new links between genetics and disease.
Countdown to Big Data in Precision Health: Venture capital in health care
Lisa Suennen of GE Ventures speaks about big data and digital innovations in the month leading up to her talk at Stanford's Big Data conference.
Solving social problems with data
A combination of machine learning and human judgment can provide solutions for social problems, said Rayid Ghani of the University of Chicago in a speech at Stanford.
Learning from health-related social media posts: A Q&A
Stanford physician Sidhartha Sinha analyzes social media posts using machine learning to better understand patient and societal perceptions on medical interventions and illnesses.
How electronic health records can improve health care
In a talk at Stanford, Jonathan Perlin of HCA Healthcare discusses how electronic health records can help doctors improve care in a learning health system.
Big Data in Biomedicine panel examines data sharing difficulties
Sharing data to expand knowledge and accelerate the pace of scientific discovery was a big theme at the 2017 Big Data in Biomedicine Conference. But, …
At Big Data in Biomedicine, reexamining clinical trials in the era of precision health
Clinical trials, in their current incarnation, are ill-suited for the nimble, personalized precision health era, a a panel of speakers at the Big Data in …
Cardiologist Eric Topol on why we need to map the human body and “go deep” with big data
This year’s Big Data in Biomedicine conference included a passionate talk from cardiologist Eric Topol, MD, of The Scripps Research Institute. Topol, who has been named …
A look at the Chan Zuckerberg Initiative’s efforts to accelerate biomedical research
When it was introduced in late 2015, the Chan Zuckerberg Initiative made waves in the biomedical community. Established with an open letter to their daughter from Facebook …
AI for imaging: Experts delve into its promise
Will artificial intelligence (AI) replace radiologists? During a session on AI and imaging yesterday at the Big Data in Biomedicine conference, panelists preempted this question (which …
“Predict, prevent and cure precisely,” Stanford Medicine’s Lloyd Minor urges
Lloyd Minor, MD, dean of Stanford's School of Medicine, opened the school’s annual Big Data in Biomedicine conference today with a call for researchers and clinicians …
Big Data in Biomedicine Conference kicks off on Wednesday
Stanford Medicine's two-day Big Data in Biomedicine Conference begins this morning. The conference, now in its fifth year, focuses on the intersection of data science, technology …