Devdiscourse

AI’s growing role in cancer, rare disease and COVID-19 drug repurposing

For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
IEEE

Pain Classification Using Discrete Wavelet Transform Feature Extraction and Machine Learning Techniques

Abstract: Electrodermal activity (EDA) measurement has been identified as a useful indicator for evaluating pain levels in patients. This study aims to find features of the EDA signal that influence ...
Wastewater Digest

Innovative approaches to sludge management: The role of AI, machine learning, and emerging technologies

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
EurekAlert!

AI-driven phenotyping pipeline unveils how wheat spike architecture shapes grain yield

A research team has developed a deep learning–based phenotyping pipeline called SpikePheno to decode the complex architecture of wheat spikes that directly determines grain yield.
IEEE

A Machine Learning-Based Fatigue Extraction Method Using Human Manipulation Video Data in Smart Manufacturing

Abstract: As an important part in smart manufacturing under Industry 4.0 era, human-robot collaboration (HRC) features the interaction between human operators and machines, which makes the research of ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
C&EN

Accelerating Catalysis Understanding via Large Language Model Data Extraction and Shallow Machine Learning Techniques

Department of Chemical & Petroleum Engineering, The University of Kansas, 4132 Learned Hall 1530 W 15th St, Lawrence, Kansas 66045, United States Center for Environmentally Beneficial Catalysis, The ...