Science

SpotMAX: A generalist framework for multidimensional automatic spot detection and quantification

The analysis of spot-like structures is a widespread task in microscopy image analysis. Existing solutions are typically ...

Machine learning methods move self-driving labs closer to materials discovery at scale

Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for ...

Machine learning method uncovers hidden patterns in DNA methylation

In a study recently published in Nature Communications, researchers from Berlin, Potsdam, and Jena present a new method for ...
Heart

Artificial intelligence based multimodal fusion of electronic medical record data and ECG signals for pericarditis prediction: pericarditis calculator (p-Cal) as a screening aid

Background Pericarditis may be associated with significant morbidity and mortality and can be a clinically challenging entity ...
Hosted on MSN

Stop using vases, try this flower idea

Discover a creative way to display flowers using a basket arrangement that works beautifully as a centerpiece or gift. #Flowers #DIY #HomeDecor 12 useful tips to maintain a high-mileage car 'Trump has ...
science

Scalable multiplexed machine learning gas sensor chips for food classification

Here, we address this problem using carbon nanotube (CNT) field-effect transistors (FETs) in which the base device structure is lithographically fabricated before the deposition of gas-sensitive ...
GitHub

Flower classification model with Transfer Learning

A deep learning project that leverages transfer learning with a pre-trained MobileNetV2 architecture to accurately classify different species of flowers. The model is built using TensorFlow and Keras, ...
Frontiers

A machine learning-based classification model for interstitial lung disease in rheumatoid arthritis

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
CBS News

New Flower Mound preschool uses Reggio Emilia approach to let children direct their own learning

Learning looks a little different at the KLA Schools of Flower Mound. The preschool uses the Reggio Emilia approach to let children help direct their own lessons. Though there are specific milestones ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...