Latest Articles for Healthcare

New methods improve soft robots’ adaptability and safety in various environments.

Examining the link between physical health issues and mental health challenges in young people.

This technique improves prediction accuracy by quantifying uncertainty effectively.

A new model aims to improve hospital discharge planning and patient care.

Study reveals brain changes linked to NAA10 and NAA15 genetic variants.

Study shows ongoing growth of brain lesions post-TBI.

A new approach enhances causal discovery accuracy in complex data relationships.

Radar technology enhances human pose estimation while addressing privacy and performance challenges.

Exploring the role of MDAΦ in enhancing N. meningitidis infections.

New methods are ensuring privacy in genomic data research.

A new framework analyzes speech to identify mild cognitive impairment across languages.

A method improving medical imaging consistency across different labs.

This study investigates AI models for extracting causality from clinical guidelines.

UNHaP effectively detects physiological events by filtering noise from genuine signals.

Synthetic data generation aids healthcare research while protecting patient privacy.

Advanced methods aim to reduce fall risks for post-surgery patients.

Introducing jointLCA, a method for better understanding multiview data connections.

Research reveals links between mitochondrial health and vision loss in ADOA.

New research uncovers shared genetic factors among major neuropsychiatric diseases.

Examining the role and impact of kill switches for smart contracts.

This study enhances sepsis mortality predictions using effective machine learning techniques.

A look at PAC learning and its role in efficient data-driven decision-making.

Examining machine learning models for predicting outcomes in acute pancreatitis.

Learn how Policy Trees aid decision-making in healthcare and finance.

New methods show promise in predicting outcomes for CAD patients.

DistPred improves outcome predictions by accounting for uncertainty effectively.

New AI model enhances detection of early diabetic retinopathy for better patient care.

MedUniverse enhances medical imaging tools while protecting patient privacy.

New methods in AI enhance accuracy and trust in medical diagnostics.

Exploring privacy risks in synthetic data and introducing the Data Plagiarism Index.

ESP-MedSAM enhances medical image segmentation, improving accuracy and efficiency for healthcare professionals.

Federated learning enhances medical imaging while protecting patient data.

A new method combines Bayesian predictions and vine copulas for improved data analysis.

A new method improves predictions in complex systems using deep learning and Gaussian processes.

Learn how kernel regression and Bayesian updating improve predictions with new data.

This study analyzes healthcare costs for care home residents versus community living.

Learn the basics of quantum algorithms and their applications in various fields.

Research improves seizure prediction methods to enhance patient safety and quality of life.

Study finds best ways for blood sample handling to aid diabetes management.

New approach enhances medical imaging accuracy using unlabeled data and self-supervised techniques.