Chromatography Online

Real-Time Pork Breed and Boar Taint Classification Using REIMS

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations

Researchers are using machine learning models to identify gentrification in imagery. Community insights help keep the models ...

AI is transforming pediatric surgery, but with strong ethical concerns

Before a child goes into an operating room, a large screen displays a risk score. This score predicts potential complications ...
IEEE

A Comparative Evaluation of Machine Learning Algorithms for Diabetes Prediction

Abstract: Diabetes is a chronic condition that affects how the body processes blood sugar, leading to consistently high blood glucose levels. Predicting diabetes early can go a long way in reducing ...
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, ...