Latest Articles for Healthcare

Exploring the connection between healthcare practices and environmental sustainability.

New methods aim to improve mental health treatments by focusing on individual responses to medications.

A novel technique for pulse oximetry aims to deliver accurate readings across all skin tones.

An innovative system combines news and cognitive assessments for older adults.

BC-SELECT helps predict treatment responses in breast cancer patients using gene expression data.

h-DJSCC improves image transmission in mobile networks, handling various connection types effectively.

Examining medication donations and their management in Ethiopian hospitals.

A novel approach using radio waves for diagnosing lung diseases rapidly and safely.

A study assesses the effectiveness of CRP for diagnosing tuberculosis.

This study reviews how well LLMs can find and fix medical errors.

A look into methods for tracking medication side effects.

Examining the costs and challenges families face from pediatric encephalitis.

Clustering organizes data into groups, revealing insights across various fields.

A study identifies distinct sepsis subtypes in Tanzania to guide treatment.

New models show promise in tracking walking issues in Parkinson's patients.

ALCM enhances causal discovery by combining LLMs with traditional methods for better insights.

This study explores how machine learning can predict lung function changes in SSc-ILD.

Enhancing analysis of microbial communities for health and environmental insights.

An overview of BCIs, their technology, and deep learning applications.

New techniques improve Bayesian inference in Hidden Markov Models for better data analysis.

Explore the significance and trends in video anomaly detection across various fields.

New tools are improving the analysis of genetic variants for better patient outcomes.

Tilde system revolutionizes robotic dexterity through intuitive control and effective learning.

Exploring methods to secure patient information in clinical research.

A study highlights the need for personalized support for immune disorder patients.

Examining the potential and challenges of AI in healthcare applications.

A guide to conformal prediction and its role in estimating uncertainty.

Study evaluates LLMs for detecting housing instability in clinical notes.

A global challenge highlights federated learning for breast density classification.

Federated and transfer learning enhance efficiency and accuracy in cancer detection.

Examining how personal digital health tools can improve pregnancy experiences.

A new framework enhances mammogram training for better radiology education.

Analyzing individual responses to treatments using Causal K-Means Clustering.

A new model aims to improve cancer predictions using AI and digitized histopathology data.

This study highlights the need for better training for maternity healthcare providers on domestic violence.

A study reveals the rich HLA genetic diversity in Africa compared to the U.S.

Examining ethical practices in patient registries for data sharing.

Introducing an efficient dual-policy system for offline reinforcement learning.

Discover key methods and applications of anomaly detection in changing data structures.

A new approach enhances classification of EEG and ECG data.