Latest Articles for Healthcare

A method allowing adaptive statistical analysis without rigid model assumptions.

Examining methods to enhance decision-making processes among healthcare experts.

Research examines Sleep Restriction Therapy for insomnia among breast cancer patients.

New framework predicts multiple outcomes with associated probabilities.

This study proposes an advanced approach for analyzing vertebral fractures using deep learning.

New algorithms enhance robotic inspection efficiency for various real-world applications.

A fresh approach to identify and locate abnormalities in brain MRI scans.

Learn how stochastic control methods help in uncertain decision-making.

xSemAD offers explainable semantic anomaly detection for improved business process insights.

A study assesses how remdesivir affects COVID-19 viral load and treatment outcomes.

A new method enhances explanations for AI-driven chest X-ray analysis.

A study on 3HP treatment for TB in Uganda focuses on safety and completion rates.

A new method improves understanding of treatment effects by merging RCT and observational data.

Collaborative training of medical algorithms while protecting patient privacy.

A study reveals young women's preferences for self-sampling in STI testing.

A novel method enhances the accuracy of treatment effect estimates over time.

cfDNA UniFlow streamlines the analysis of circulating DNA for better health insights.

New benchmark aids in predicting enzyme behavior using machine learning.

Medical training focuses on recognizing and managing implicit bias.

A new method improves accuracy in predicting state transitions using Markov chains.

A new method enhances analysis of how different groups respond to treatments.

A reliable tool helps identify epilepsy in limited healthcare areas.

A new model enhances prediction accuracy for treatment effects over time.

GLOVID aims to improve detection of respiratory viruses through innovative testing methods.

This review highlights potential biomarkers for better diagnosis and treatment of bladder cancer.

A study reveals how COVID-19 affected cancer patients' treatment choices.

An analysis of how public-private healthcare impacts health disparities in Latin America.

A new model enhances the analysis of complex health data.

Bacterial sensors use engineered bacteria to monitor health and environmental conditions.

Study reveals machine learning models can enhance hospital discharge predictions.

Enhancing pharmacovigilance through reliable language model outputs.

A lightweight network for real-time pose estimation on mobile devices.

A novel AI model provides accurate and clear treatment effect predictions.

Higher EVT volumes in hospitals lead to better patient recovery rates.

AcuVR uses Virtual Reality to improve acupuncture training safety and effectiveness.

Robots influenced by nature offer new possibilities in adaptability and performance.

Research sheds light on how Enterobacter flourishes in neonatal gut.

New methods improve understanding of protein behavior in response to mutations.

Understanding and improving conversations around sexual health for young cancer survivors.

Study shows nirmatrelvir reduces severe outcomes in COVID-19.