machine learning

IBM and the Broad Institute will codevelop algorithms to apply artificial intelligence to predict cardiovascular risk from genomic and clinical data.

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Nature News reports on machine learning approaches to detect harmful stretches of DNA.

The machine-learning-based method identifies relationships between bacterial strains and tracks their movements in less time, using less memory than existing solutions. 

The company has begun piloting the software, which is targeted towards bioinformatics companies and clinical laboratories, with early adopters ahead of the planned launch.

The Series E financing will go, in part, toward expansion of the company's US presence by growing its workforce and marketing to more American hospitals.

Veracyte plans to launch a new version of its Percepta test and present data for a nasal swab lung cancer diagnostic this year.

With the recent introduction of its Reveal platform, the company behind the 1000 Genomes Project browser wants to unlock the potential of the UK Biobank dataset.

After raising $320M in venture capital, Tempus hopes to sequence 100,000 samples in 2019 as it expands its precision medicine program into depression and diabetes.

The researchers studied edits generated by more than 40,000 gRNAs and gathered data for more than 109 mutational outcomes to create the software.

OMI researchers will apply and validate 1CellBio's inDrop system to generate predictive data for patients with undiagnosed immune dysfunction conditions. 

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New results from the NASA Twins Study indicate that the immune system may rev up when in space, the Washington Post reports.

Kelvin Droegemeier, the new science advisor, spoke at the American Association for the Advancement of Science meeting, Geekwire reports.

In PNAS this week: whole-genome assembly for the white shark, paper-based microfluidic method for detecting the malaria parasite, and more.

The World Health Organization has announced the members of its gene-editing committee, according to NPR.