Morning Overview on MSN

Google DeepMind AI lights up the dark genome and flags risky DNA tweaks

Google DeepMind’s latest artificial intelligence model is turning the most mysterious stretches of human DNA into readable ...

AlphaGenome: Google’s new AI tool that can decipher and predict DNA changes. How does it work?

A new AI model by Google DeepMind can decipher DNA and predict mutations, opening new doors for disease research. View on ...
InfoQ

Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
UroToday

Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy.

While urinary organs at risk (OARs) such as the intraprostatic urethra and the bladder trigone are increasingly recognized as associated with severe genitourinary toxicity, their delineation in ...
Frontiers

Deep-learning-based automatic liver segmentation using computed tomography images in dogs

Introduction: Deep learning-based automated segmentation has significantly improved the efficiency and accuracy of human medicine applications. However, veterinary applications, particularly canine ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
Consumer Reports

Talking Cars 479: Driving the Tesla Model Y

Main theme: In this episode of the "Talking Cars" podcast, we discuss our initial impressions of the new 2026 Tesla Model Y. Significantly freshened, the new Model Y received many changes seen in the ...
IEEE

A Comparative Study of Deep Learning Semantic Segmentation Models for Kidney Segmentation in Ultrasound Images Using the Open Kidney Ultrasound Dataset

Abstract: Accurate segmentation of kidney ultrasound (KUS) images is essential for various diagnostic procedures. However, challenges such as variability in image quality and the need for real-time ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...