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Markov Model, Maserati Speed

On his blog, Thomas Mailund describes his attempts to speed up hidden Markov models. To do this he is taking advantage of the parallelization of single instruction, multiple data operations, and multiple cores -- though he is running into difficulties because there are many different ways to handle the data in parallel and if that's not done correctly, it leads to a large number of classes. He says that he is now thinking about using a template meta-programming approach that would "weave together the different data representations with the optimal algorithms for working on them."

The Scan

UCLA Team Reports Cost-Effective Liquid Biopsy Approach for Cancer Detection

The researchers report in Nature Communications that their liquid biopsy approach has high specificity in detecting all- and early-stage cancers.

Machine Learning Improves Diagnostic Accuracy of Breast Cancer MRI, Study Shows

Combining machine learning with radiologists' interpretations further increased the diagnostic accuracy of MRIs for breast cancer, a Science Translational Medicine paper finds.

Genome Damage in Neurons Triggers Alzheimer's-Linked Inflammation

Neurons harboring increased DNA double-strand breaks activate microglia to lead to neuroinflammation like that seen in Alzheimer's disease, a new Science Advances study finds.

Long COVID-19 Susceptibility Clues Contained in Blood Plasma Proteome

A longitudinal study in eBioMedicine found weeks-long blood plasma proteome shifts after SARS-CoV-2 infection, along with proteomic signatures that appeared to coincide with long Covid risk.