This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

MicroPython, for the uninitiated, is a pared-down version of python meant to run on today’s powerful microcontollers. As ...

To develop new and better peptides, the short amino acid strings behind medicines like GLP-1 drugs, researchers have used AI ...

NCAA president Charlie Baker says they're willing to work with the Commodity Futures Trading Commission to develop a system that protects student-athletes and consumers from harm. Kevin Dietsch / ...

hDiabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA iDepartment of Medicine, Harvard Medical School, Boston, MA, USA ...

Abstract: In industrial control systems, the generation and verification of Programmable Logic Controller (PLC) code are crucial for ensuring operational efficiency and safety. While Large Language ...

OpenDDE is a preview release. CLI flags, input/output JSON fields, and released checkpoints may change between versions, and predictions are not guaranteed to be reproducible across releases. It is ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it. Launched in 2016 by the Bristol ...

Meta is planning to launch its own prediction market app to compete with companies like Kalshi and Polymarket in a booming sector that some analysts project could become a $1 trillion industry in the ...

Mark Zuckerberg’s Meta is quietly developing a prediction markets app that could challenge industry leaders Polymarket and Kalshi, according to a report. Zuckerberg recently tasked a small team inside ...