Le Lézard

$17.47 Bn Smart Clothing Market - Global Forecasts from 2025 to 2030: Growth Driven by the Integration of Advanced Technologies Like Sensors, Machine Learning, and Big Data ...

The "Smart Clothing Market - Forecasts from 2025 to 2030" report has been added to ResearchAndMarkets.com's offering. The Smart Clothing Market will climb from USD 5.585 billion in 2025 to USD 17.474 ...
JD Supra

USPTO Issues Revised Inventorship Guidance for AI-Assisted Inventions: What It Means for Patent Strategy

On Nov. 28, 2025, the United States Patent and Trademark Office (USPTO) issued new examination guidance clarifying inventorship standards ...
Daily Bruin

BAIR Lab uses machine learning to analyze health care data, improve patient lives

The UCLA Biomedical Artificial Intelligence Research Lab is using machine learning to improve the lives of patients. Machine learning is a field of AI that learns from existing data to make ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Inc42

Meesho Sets IPO Price Band At INR 105-111, Seeks $5.6 Bn Valuation

Ecommerce major Meesho has set a price band of INR 105 to INR 111 for its initial public offering (IPO), which is set to open ...
collider

Why Did ‘The Smashing Machine’ Flop and What Does This Mean for Dwayne Johnson's Career?

Thomas Butt is a senior writer. An avid film connoisseur, Thomas actively logs his film consumption on Letterboxd and vows to connect with many more cinephiles through the platform. He is immensely ...
Neurology Advisor

Machine Learning Tool Predicts MS Relapse Risk After DMT Discontinuation

Credit: Getty Images Researchers developed a machine learning-based tool to predict individualized risk for recurrent multiple sclerosis activity after disease modifying therapy discontinuation. A ...
pulmonologyadvisor

Machine Learning Model Predicts 30-Day Mortality in ICU Patients With Asthma

The main predictors for 30-day mortality in ICU patients with asthma were age, RR, RDW, urine output, anion gap, international normalized ratio, and heart rate. A machine learning (ML)-based model can ...
Newsday

Exploring interpretable machine learning

This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...
Miami Herald

$10 went into a slot machine, and a $109,000 jackpot came out in Broward

Membership and luck had their privileges for a slot machine player who walked from Seminole Classic Casino near Hollywood with a jackpot over $109,000. In June 20’s first hours, a player who’s in the ...
Hosted on MSN

Machine learning reveals new hydrogenation reaction mechanism for superhydride

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly promising option for applications such as hydrogen storage and superconducting ...
Healio

Machine learning may assist in identifying pain trajectories after TKA

Please provide your email address to receive an email when new articles are posted on . A machine learning algorithm was able to identify pain archetypes after TKA. Predictors for difficult to control ...