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DARTS uses deep learning-based techniques to leverage public RNA-sequencing datasets to make predictions about alternative splicing in individuals datasets.

The study supports the use of Envisia to help with the diagnosis of idiopathic pulmonary fibrosis, particularly in patients without a clear radiological result.

Researchers defined six malignant cell clusters with single-cell transcriptomes and genotypes for thousands of acute myeloid leukemia cells.

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.

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Bloomberg reports that the DNA-for-cash deal reported in Kentucky might be a more widespread scam.

St. Jude Children's Research Hospital scientists have treated infants with X-linked severe combined immunodeficiency using gene therapy in an early phase study.

St. Louis Public Radio reports that some African Americans are turning to DNA ancestry testing to help guide genealogical searches.

In Nature this week: a genomic analysis of the snailfish Pseudoliparis swirei, ancient DNA analysis gives insight into the introduction of farming to England, and more.