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Integrating artificial intelligence in community-based diabetes care programmes: enhancing inclusiveness, diversity, equity and accessibility a realist review protocol.

INTRODUCTION: Marginalised populations-such as racialised groups, low-income individuals, newcomers ...

One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.

Inspired by neuronal diversity in the biological neural system, a plethora of studies proposed to de...

The apportionment of dietary diversity in wildlife.

Evaluating species' roles in food webs is critical for advancing ecological theories on competition,...

Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.

Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope o...

Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review.

The lack of Equity, Diversity, and Inclusion (EDI) principles in the lifecycle of Artificial Intelli...

Using Deep Graph Neural Networks Improves Physics-Based Hydration Free Energy Predictions Even for Molecules Outside of the Training Set Distribution.

The accuracy of computational water models is crucial to atomistic simulations of biomolecules. Here...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly...

Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scal...

A formulation dataset of poly(lactide-co-glycolide) nanoparticles for small molecule delivery.

Poly(lactide-co-glycolide) (PLGA) nanoparticles are promising drug delivery systems, widely recogniz...

A Study of Data Augmentation for Learning-Driven Scientific Visualization.

The success of deep learning heavily relies on the large amount of training samples. However, in sci...

Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training.

Spiking neural networks drawing inspiration from biological constraints of the brain promise an ener...

Can Neural Networks Learn Atomic Stick-Slip Friction?

Nanofriction experiments typically produce force traces exhibiting atomic stick-slip oscillations, w...

Asymptotic theory of in-context learning by linear attention.

Transformers have a remarkable ability to learn and execute tasks based on examples provided within ...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational i...

A Pilot Feasibility Study Exploring the Preliminary Effectiveness of an AI-Driven Virtual Human Intervention for General Practitioner Obesity Education and Communication-Skills Training.

BACKGROUND: Rising global obesity rates demand effective weight management strategies from general p...

Corrigendum to "Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" [Clin Imaging 118 (2025) 110369].

Graph-based vision transformer with sparsity for training on small datasets from scratch.

Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. How...

Batch gradient based smoothing L regularization for training pi-sigma higher-order networks.

A Pi-Sigma neural network (PSNN) is a kind of neural network architecture that blends the structure ...

Progress in fully automated abdominal CT interpretation-an update over the past decade.

This article reviews advancements in fully automated abdominal CT interpretation over the past decad...

Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements.

Machine learning potentials (MLPs) can enable simulations of ab initio accuracy at orders of magnitu...

"How can we involve Patients?" - Students' perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care.