C&EN

Pharma learns to share as their AI demands more data

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...
Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Frontiers

Machine learning approaches to predict hip fracture incidence: insights from the CHARLS dataset

Hip fractures are a major health concern in the older adults, severely impacting patients’ quality of life and straining healthcare systems. With China’s aging population, their incidence is projected ...
Scientific Research Publishing

Smith, J. (2019) Heart Disease Dataset.

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
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 ...
IEEE

Quantum Machine Learning with Cyber Security Algorithm and Data Security A Comparative Analysis of SVM and QSVM

Abstract: Quantum Machine Learning (QML) emerges as a particularly promising field at the combination of quantum computing and machine learning techniques, aiming to enhance performance, efficiency, ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...