Google expects its newly released open-source update to DeepVariant to improve the accuracy of variant calling, particularly in plant and animal genomes.
At the Cleveland Clinic Medical Innovation Summit, experts discussed the promise and challenges of genomic and health data, and strategies for taming it.
"It's actually pretty difficult to build an artificially intelligent machine," according to a top Google life scientist, who is more focused on iterative machine learning.
The Colorado Center for Personalized Medicine has allied with the tech giant as it begins to integrate genomic and clinical data.
The former commissioner of the US Food and Drug Administration, Robert Califf, is heading to Alphabet's Verily.
Thomas Insel has left his position at Verily, according to Stat News.
New Scientist wonders whether Verily's Baseline Project will be able to meet its aim of developing a picture of a healthy person.
Verily seeks to expand its Baseline Project to yield a picture of a healthy person, the Verge reports.
CNBC reports that Google's parent company is wooing researchers from the healthcare and life science fields.
The amount of cancer data being generated is driving researchers to develop artificial intelligence and deep machine-learning methods to help them keep up.
Researchers tie a variant in ADAMTS3 to breathing difficulties in dissimilar dog breeds, according to Discover's D-brief blog.
The Japan Times reports that researchers sequenced the genome of a woman who lived during the Jomon period.
Parents of children with rare genetic disease have to contend with shifts in the interpretation of genetic variants, the Wall Street Journal reports.
In Science this week: single-nucleus RNA sequencing of brain tissue from individuals with autism, and more.