Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
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Machine learning models about as trustworthy as conventional means for risk prediction

When it comes to predicting an individual’s risk of suffering a heart attack or stroke over the next 10 years, machine learning models are no more consistent than traditional statistical techniques.

3 takeaways from an unfinished healthcare project at Alphabet’s X

Leaders of the venture, dubbed “Project Amber,” are open-sourcing their technology and findings in the hope that other mental health researchers can take things from here.

Up first for the Mayo Clinic–Google Health alliance: Better radiation therapy through AI

A little more than a year after inking a 10-year pact on digital healthcare development, Mayo Clinic and Google Health have launched their first major research project together. Interestingly, it directly involves AI.

Trophies to be defended: Top 10 vaccinating states last flu season

The three states of Southern New England will be looking for a threepeat of sorts this year, as they placed first, second and third for the 2019-20 season.  

$18M, 11-institution effort aims AI at unmasking Alzheimer’s

The bytes are accumulating far too fast for any human effort to connect whatever dots might be hiding in the massive muddle. Enter 40 researchers at 11 sites armed with AI and almost $18 million in new NIH funding.

US led the world in medical AI research from 1975 to 2020

Analyzing the scientific literature on medical AI published over the past 46 years, researchers in the U.K. have found the U.S. far ahead of the field for sheer quantity.

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Prostate-specific AI cleared for market

The FDA has greenlit a European company’s AI software package designed to streamline workflow for radiologists reading prostate MRIs.

Google Health makes like a PhD candidate defending thesis

Google Health all but invited the blowback when its AI developer-researchers suggested their breast-cancer model may be superior to radiologists’ eyes and generalizable across differing demographics.