Chainlink and Validation Cloud Collaborate to Power Institutional DeFi With Cross-Chain Interoperability and AI

Chainlink’s CCIP connects the world’s leading blockchains and existing financial systems, enabling secure and seamless movement of data and value across ecosystems. The Chainlink standard is rapidly ...
AZoRobotics on MSN

AI Helps Scientists Pinpoint Where Groundwater is No Longer Safe in India

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
EurekAlert!

Machine learning takes biochar dye cleanup to the next level

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

Machine Learning Can Forecast Which Stock Factors Will Outperform

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
IEEE

Advancing Model Performance With ADASYN and Recurrent Feature Elimination and Cross-Validation in Machine Learning-Assisted Credit Card Fraud Detection: A Comparative Analysis

Abstract: Online card transactions have become more frequent due to the growth of e-commerce and financial technology apps. However, this also means more opportunities for credit card fraud, which ...
ascopubs.org

Development of Machine Learning Systems to Predict Cancer-Related Symptoms With Validation Across a Health Care System

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...
The Lancet

Development and validation of machine learning models to predict esophagogastric variceal rebleeding risk in HBV-related cirrhosis after endoscopic treatment: a prospective ...

aDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China bDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, ...
C&EN

Discovery of Potential Tyrosinase Inhibitors via Machine Learning and Molecular Docking with Experimental Validation of Activity and Skin Permeation

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Natural product libraries represent an ideal source for ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

These models exhibited minimal variance in cross-validation, with tightly clustered ROC-AUC and precision-recall area under the curve distributions. In the internal validation set, LightGBM (ROC-AUC 0 ...
IEEE

LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics—The Case of Greek Songs

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...