Vertebrate paleontology has a numbers problem. Computer vision can help

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

AI-powered electronic nose can 'smell' early signs of ovarian cancer in the blood

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Devdiscourse

AI-driven air quality system promises faster, more reliable urban health warnings

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
Morning Overview on MSN

Scientists grew mini brains and trained them to crack an engineering problem

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...
IEEE

The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

Machine Learning-Based Classification of ASD for Improved Diagnostic Accuracy

Abstract: Autism Spectrum Disorder(ASD) is a neuro-developmental disorder that influences how people interact with others and communicate hence affecting their ability to interact with others. This is ...