AI & Data Analytics

As 2017 winds to a close, here’s a look back at a half-dozen particularly illuminating discussions about analytics, AI, the opioid crisis, and more.

The findings could prompt advances in precision medicine, researchers said.

In 323 cases, IBM's artificial intelligence identified additional treatment options that a panel of experts overlooked.

Why a new model designed to tabulate localized influenza outbreaks faces significant hurdles.

The program, DrugPredict, searches through hundreds of thousands of chemical combinations and pairs them with diseases they might be able to fight.

The ambitious precision medicine initiative looks to sequence 1 million Americans to inform public health.

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.