
Researchers in Russia said they’ve trained a computer program to detect the emotions behind a speaker’s words. That technology could help physicians better diagnose patients.

Researchers in Russia said they’ve trained a computer program to detect the emotions behind a speaker’s words. That technology could help physicians better diagnose patients.

The company is one of several tech players to win a Frost & Sullivan’s Best Practices Award.

People with cancer are consumers of healthcare. Should they not get customized treatment plans?

LeanTaaS banked on predictive analytics and machine learning in the financing round.

Four posters this week will tout its next-gen sequencing and analytical solutions.

“People could end up behaving in ways that they struggle to claim as their own.”

“We need to use data better,” the billionaire wrote in a blog post announcing a huge investment.

Through the company's EHR partners, many US physicians may access the tool in 2018.

Cleveland Clinic spotlights the innovations set to soon shape healthcare.

And machine learning may be able to spot it before anyone else.

A Sentry-funded study suggests hospitals want high-tech solutions for a serious problem.

Investigators analyzed 91 studies to develop a framework for future research.

Healthcare must adapt to the new way in which risk factors present, according to a UPMC expert.

The 4-year program aims to spur collaboration to advance biomedical research.

Researchers performed the analysis using long-term data from 66 patients.

A UPMC biomedical informatics professor outlines 4 steps healthcare orgs can take now.

3 barriers that hospitals must break down. It's not all about the money.

It's time, experts said, for executives and employees to adapt.

A study of diabetes diagnoses and long-term health points to the numbers' softer side.

How diagnoses can progress from the "19th-century Oslerian blueprint."

“They’re only hypothetical in the sense that we haven’t had a catastrophic event yet. But we will.”

From 620,000 tweets, machine learning identified nearly 1,800 sales pitches for the deadly drugs.

“Overall, at the general population level, I've been actually surprised as to how well people understand it."

Children’s Hospital of Philadelphia and the next-generation sequencing firm analyzed 1,000 genomes in under 3 hours.

"We don't know how much of the care the patients get out of our system. How complete is our predictive ability?