Latest Articles for Healthcare

A new approach enhances activity recognition accuracy using context and semantic loss.

Introducing IMAVAE, a framework for better understanding treatment effects through complex mediators.

A new method to find hidden influences in complex data relationships.

Robotic bronchoscopy enhances safety and precision in lung cancer procedures.

Learn how DP-OPH techniques safeguard user data in analytics.

This study explores how data and machine learning can predict patient stays.

This study examines emotion detection through EEG, highlighting effective methods and results.

Demixer improves identification of TB strains for better treatment.

MMD-FUSE enhances two-sample testing through improved kernel selection and adaptive methods.

Study examines ChatGPT’s accuracy in diagnosing complex neuroradiology cases.

Candida auris poses serious risks due to drug resistance and high mortality rates.

New methods improve decision-making in dynamic environments using existing data.

Research on proteins shows promise for new malaria vaccines.

New methods improve short-duration voice stress detection accuracy.

A study evaluates the Therapy Intensity Level scale for TBI management.

New techniques improve 3D human models from 2D images.

A new evaluation framework enhances systematic reviews by assessing study impact.

Exploring methods for identifying shifts in time series across various fields.

Introducing a model to improve how systems represent and interact with processes and procedures.

New methodology boosts Bayesian trial efficiency and decision-making.

Examining the ongoing struggles of those affected by Long COVID.

Explainability in AI is crucial for trust in critical fields like healthcare.

Assessing the effectiveness of telephone advice lines for home-based palliative care.

This research highlights how data can speed up rare disease diagnosis.

Study reveals how vaccination reduces severe illness and death rates in COVID-19 patients.

Examining the benefits of MIMO-OTFS technology for next-gen sensing and communication.

Examining the role of race and ethnicity in diabetes risk assessments.

New techniques improve heart models for personalized patient care.

Addressing risks and improving safety for healthcare workers exposed to blood.

Researchers analyze disease connections to improve health outcomes in patients with multiple conditions.

Research reveals patterns of antibiotic resistance spread in London hospitals.

A look into how contracts are formed between doctors and hospitals.

A study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

AI software improves medical report processing for better patient care.

Empowering patients with control over their health data and ensuring privacy.

A review of health systems improving diabetes care access in West Africa.

New methods allow faster and cheaper antibody production using bacteria.

A new risk model aims to improve heart transplant patient prioritization.

Using sound analysis and machine learning to improve AVF monitoring.

Learn how sufficient dimension reduction enhances predictive modeling in data science.