Johns Hopkins Medicine

AI-Based Liquid Biopsy May Detect Liver Fibrosis, Cirrhosis and Chronic Disease Signals

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

New 4D-STEM method isolates atomic structures from clustered nanocrystals

Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

How Fast Will A.I. Agents Rip Through the Economy?

How Fast Will A.I. Agents Rip Through the Economy? transcript The thing about covering A.I. over the past few years is it ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Southern Utah Independent

Utah Division of Outdoor Recreation Awards $735,000 to Expand Youth Outdoor Learning

The Utah Division of Outdoor Recreation (DOR) has awarded more than $735,000 in grants to support youth-focused outdoor recreation and education programs across the state, benefiting more than 21,500 ...
IEEE

Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...