AI may be able to predict a person’s risk of developing over a hundred serious medical conditions from data collected over ...
AI tools improve diagnostics and patient outcome prediction in resource-limited health care settings
After a cardiac arrest, families and doctors are often faced with agonizing uncertainty about a patient's chances of recovery ...
Coinbase Buys The Clearing Company to Expand Into Prediction Markets Your email has been sent Coinbase is pushing further beyond its cryptocurrency roots with an agreement to acquire The Clearing ...
This repository contains a comprehensive machine learning project that systematically evaluates 8 different algorithms for predicting mitochondrial membrane potential (MMP) toxicity using the Tox21 ...
Oracle stock has been struggling as investors worry about the growing debt to fund its AI buildout. However, an acceleration in Oracle's growth in the next fiscal year could alleviate those concerns.
Lev Facher covers the U.S. addiction and overdose crisis. OnPoint NYC, the nonprofit that was the first in the nation to openly offer supervised drug consumption services, celebrated its fourth ...
Abstract: Employee turnover poses a significant threat to organizations, impacting stability and expense. This paper introduces a machine learning model that forecasts whether an employee will quit ...
5 Cybersecurity Predictions for 2026: An Industry Insider’s Analysis Your email has been sent As I look at where cybersecurity is heading, it’s clear we’re not just dealing with “more threats” — we’re ...
This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.
WASHINGTON, Nov 24 (Reuters) - U.S. President Donald Trump on Monday signed an executive order to launch a government-wide effort to build an integrated artificial intelligence platform to harness ...
Prediction markets promised to make finance more foresight-driven, but their early incarnations were too niche to matter or too unregulated to scale. Kalshi, federally licensed and VC-backed, set out ...
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