Latest Articles for Healthcare

Examining how gut microbiome impacts the absorption of antipsychotic medications.

Exploring how gut health influences urinary tract infections in older women.

Exploring influence-based explainability in AI for brain tumor imaging.

A new approach combines survival rates with health utility to improve treatment assessment.

Research identifies RNU4-2 gene's role in severe neurodevelopmental disorders.

LHU-Net improves accuracy and efficiency in medical image segmentation, aiding healthcare professionals.

A study on assessing NLG systems for accurate medical diagnoses.

Learn effective strategies to address missing data challenges in various fields.

Machine learning offers solutions for accurate seizure detection, improving patient outcomes.

LoSTer improves clustering accuracy and speed for long time series data.

GISR helps robots accurately determine their location using camera images.

This method enhances clustering by using Godel numbering and cellular automata.

This study assesses biases in LLMs impacting healthcare across demographic groups.

A new framework improves non-contact vital sign monitoring using video techniques.

Research explores machine learning's role in finding coronary artery blockages.

Clozapine offers hope for those with treatment-resistant schizophrenia but remains underutilized.

Exploring the advancements and challenges in masked face recognition systems.

A new method improves heart health monitoring through advanced signal processing.

A new method improving medical data privacy and collaboration between institutions.

Examining the effectiveness of telehealth for speech and swallowing therapy.

A look at how goodness-of-fit tests evaluate data against statistical models.

A new initiative aims to enhance health outcomes for mothers, infants, and children across the UK.

Research explores AI's potential in recognizing emotions during patient therapy.

Learn how PTMs provide insights into complex relationships between variables.

Examining the complex effects of adverse drug reactions on impulsivity.

A fresh perspective on treatment outcomes and causation analysis.

Research reveals limited links between genetics and current mental health therapies.

This study examines LLMs for predicting heart disease risks in healthcare.

This study examines bias in Continual Learning models for medical imaging.

Research reveals genetic insights into bipolar disorder, aiming for better treatments.

Explores the dynamics of information sharing between parties in decision-making contexts.

RoTHP improves predictions in event modeling through rotary position encoding.

A look at how dependence measures help analyze relationships between multiple variables.

AI-driven framework enhances detection and management of bloodstream infections.

Introducing a fixed-point method for learning causal relationships without complex graphs.

A method to efficiently model and control nonlinear systems using active learning techniques.

New methods improve prediction accuracy and uncertainty measurement in data analysis.

This study proposes a new method for change point detection in complex datasets.

Study examines aspirin's impact on blood clot risks in Veterans after COVID-19.

A new method for accurate blood pressure readings using PPG signals without cuffs.