EurekAlert!

A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...
Technology Networks

Machine Learning Model Predicts Liver Cancer Risk Using Routine Clinical Data

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
IEEE

A Block-Sparse Bayesian Learning Algorithm with Dictionary Parameter Estimation for Multi-Sensor Data Fusion

Abstract: We propose an sparse Bayesian learning (SBL)based method that leverages group sparsity and multiple parameterized dictionaries to detect the relevant dictionary entries and estimate their ...
Que.com on MSN

Essex University’s fruit-picking robot revolutionizes harvesting and wins award

Introduction to the Next-Gen Harvest Revolution In recent years, the agriculture sector has witnessed a surge in technological innovation. From ...
IEEE

Research on Optimization of Personalized Algorithm of E-Commerce Recommendation System Based on Deep Learning

Abstract: Traditional recommendation algorithms, such as collaborative filtering and content filtering, have limitations in the face of big data, diversity of user behavior and complexity of product ...

CERN eggheads burn AI into silicon to stem data deluge

feature CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...