The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

Instagram users could soon see more ways to tune their content, according to a recent post from Instagram head Adam Mosseri. Specifically, Mosseri was showing off new ways that users might access Your ...

“Electronic ‘Brain’ Teaches Itself.” That was how the New York Times defined the Mark I Perceptron in a headline on July 13, 1958. Developed at Cornell University by psychologist Frank Rosenblatt (who ...

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...

Bitcoin (BTC) has gone up 4.5% over the past week as renewed institutional demand helped stabilize prices. At the same time, derivatives data indicate a cooling in forced selling activity. Notably, ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive disorders, including autism. But ethical questions loom. Brain organoids, which ...

Bridgette Bol/DAILY. Buy this photo. Giovanni El-Hadi always looked older than he is. Not necessarily just his general appearance, but his demeanor and physicality were always ahead of his peers. At 9 ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...