NatureOpinion

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
News-Medical.Net

New method boosts AI-driven protein engineering with massive data

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Frontiers

Leveraging Artificial Intelligence and Real World Data for Novel Insights in Healthcare.

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...
Biometric Update

Idbio makes strong NIST iris, fingerprint biometrics debuts, gets MOSIP-certified

Idbio has secured top results in two of NIST’s most significant evaluations, IREX 10 for iris recognition and PFT III for ...
IEEE

Development of a Traceable Dielectric-Property Dataset for Femoral-Fracture Monitoring in the 1–4 GHz Band with Cross-Database Validation and Machine-Learning Proof of Concept

Abstract: Reliable dielectric-property models are a prerequisite for credible forward electromagnetic simulation of microwave-based femoral-fracture monitoring systems. This paper presents a traceable ...