AIMC Topic: Humans

Clear Filters Showing 6511 to 6520 of 95995 articles

PRformer: Pyramidal recurrent transformer for multivariate time series forecasting.

Neural networks : the official journal of the International Neural Network Society
The self-attention mechanism in Transformer architecture, invariant to sequence order, necessitates positional embeddings to encode temporal order in time series prediction. We argue that this reliance on positional embeddings restricts the Transform...

Extreme urban temperature exposure and preterm birth: Spatial-temporal risk zone prediction using machine learning models.

Environmental research
This study investigates temperature impacts on preterm birth (PTB) using residential address GPS coordinates for 311,972 pregnant women in Wuhan, China, coupled with daily environmental data. We developed a machine learning model to analyze the impac...

Kcc-ReHo and Cohe-ReHo in bipolar disorder: their associated genes and potential for diagnosis and treatment prediction.

Neuropharmacology
The neural mechanisms underlying resting-state cerebral functional activity in bipolar disorder (BD) and the effects of pharmacotherapy on it remain unclear. This study investigated changes in local brain activity in BD patients (BDPs) following trea...

Artificial Intelligence for Identification of Patients with Increased Risk of Severe Cancer Therapy-Related Cardiac Dysfunction Following Anthracycline Therapy.

The American journal of medicine
BACKGROUND: Early detection of cancer therapy-related cardiac dysfunction (CTRCD) after anthracycline exposure is critically important in minimizing morbidity and mortality. Artificial intelligence models applied to electrocardiograms (ECG-AI) may al...

Applications of biosensing in assessing food flavor: advancements, challenges, and prospects.

Food chemistry
The increasing demand for high-quality, flavorful food products has driven improvements in flavor detection technologies. Traditional methods, such as sensory analysis and instrument-based techniques, often lack thorough quantitative assessments. Thi...

Polymer microparticles in an evolving drug delivery landscape: challenges and the role of machine learning.

International journal of pharmaceutics
Polymer microparticles (MPs) have long been a cornerstone of long-acting injectable (LAI) drug delivery, offering controlled drug release, reduced dosing frequency, and improved patient adherence. Among these, poly(lactide-co-glycolide) (PLGA)-based ...

Multi-parameter MRI deep learning model for lymphovascular invasion assessment in invasive breast ductal carcinoma: A multicenter, retrospective study.

Clinical radiology
AIMS: To investigate the value of multi-parametric magnetic resonance imaging (MRI)-based deep learning (DL) in predicting the Lymphovascular Invasion (LVI) status of invasive breast ductal cancer (IBDC).

Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Cardiovascular implantable electronic devices (CIEDs) induce severe off-resonance artifacts in balanced steady-state free precession (bSSFP) cine MRI, limiting diagnostic utility for a growing patient population. While supervised and unpaired learnin...

Recent advances in nanopharmaceutical strategies for cancer treatment.

Biochemical and biophysical research communications
Next-generation cancer nanomedicines are revolutionizing therapeutic precision through multifunctional, adaptive, and tumor-specific strategies. This review discusses emerging innovations in cancer nanomedicine, including stimuli-responsive nanomedic...

Micronutrient supplementation influences the composition and diet-originating function of the gut microbiome in healthy adults.

Clinical nutrition (Edinburgh, Scotland)
BACKGROUND & AIMS: Studies in-vitro and in animals propose that vitamins and minerals can alter the human gut microbiome. Human trials replicating these findings are scarce or used micronutrient supplementation in supraphysiological doses. We explore...