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 ...

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 ...
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 ...

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 ...
Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

EPC Group Launches AI Decision Intelligence Framework for Microsoft Power BI

New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...
IEEE

Machine-Learning-Based Algorithm for Significant Wave Height Retrieval From Microwave Radiometer During Tropical Cyclones

This study develops a machine-learning-based approach to retrieve significant wave height (SWH) from soil moisture active passive (SMAP) radiometer data under tropical cyclone (TC) conditions, ...
Hacker

The Future of Code Generation: Tree-Diffusion, Limitations, and Research Directions

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...
IEEE

Development of a Machine Learning Model for Predicting Tree Health in Forest Management Systems

Abstract: This paper presents a study on the development and evaluation of a machine learning model for predicting tree health based on soil properties, environmental conditions, and tree dimensional ...