Swedish Cancer Institute has enlisted machine-learning technology vendor GNS Healthcare to model patient-specific breast cancer tumor data.
Researchers have argued that the facial prediction claims are overblown and serve Human Longevity's financial interests in proprietary genomic databases.
The integration could provide a more complete phenotypic picture that helps clinicians prioritize genetic variants that may have otherwise been missed.
"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 deal will enable sequencing startup Veritas to offer AI, machine learning, genome interpretation, and data sharing services.
Bioinformatics firm Berg is combining multi-omics data from the Department of Defense's Center for Prostate Disease Research in search of biomarkers.
The companies plan to use machine learning and simulation to study disease drivers and identify existing and new therapies, focusing first on cardiovascular disease.
Swiss informatics firm Sophia Genetics has moved into liquid biopsies with an update to its SOPHiA AI system, changing how clinicians treat some cancers.
FDNA's Face2Gene suite analyzes phenotypic data, including facial features, from rare disease patients.
Researchers are developing new algorithms and using machine-learning techniques that can integrate vast amounts of cancer omics data to identify potential therapies.
The Jackson Laboratory has filed a complaint accusing Nanjing University of breeding and re-selling its mouse models, the Hartford Courant reports.
Oxford researchers are turning to virtual reality to visualize genes and regulatory elements, Phys.org says.
In Science this week: neutrophils rely on microRNA to protect against lung inflammation, and more.
China is moving forward with plans to sequence a million citizens, the Wall Street Journal reports.