Is Contrast Agent Information Necessary for Machine Learning?

Reading the PCCT Liver Lesion Radiomics StudyIn my previous article, I posed the question of whether we could consider spectral representations suited to diagnostic tasks, rather than just comparing ...
European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

Quantum models predict lung cancer using limited training data in preliminary tests

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...
BIOENGINEER

Super-resolution GAN and swarm-optimized transfer learning sharpen Alzheimer’s MRI classification

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified ...

ADVENT and a Korean Environmental Agency Use Graphene AI E-Nose to Classify Apartment Malodor

GraphAISense classified odors from samples taken at a residential complex; permanent monitoring starts in November to ...