Latest Articles for Health Outcomes

A promising new method enhances predictions for cancer treatment outcomes using immune checkpoint inhibitors.

Strategies to motivate patients in accepting necessary medical tests.

This article highlights the use of Gaussian Processes in clinical research analysis.

A deep learning approach improves survival predictions for esophageal squamous cell cancer.

A method to assess causal relationships using observational data from twin studies.

Discover how genetic studies reveal connections between traits and diseases.

This article discusses the importance of correcting outcome reporting bias in clinical research.

A study analyzes health equity focus in research projects across institutions.

Using past trial data to improve current treatment evaluations.

A discussion on the importance of realistic assumptions in medical research estimands.

Combining ultrasound and serum markers offers better predictions for breast cancer classification.

Reviewing the potential of technology in predicting outcomes for HNSCC patients.

Exploring the importance of prediction sets in drug development.

This article examines the role of random features in predicting diseases from medical data.

A look at how variation analysis improves our insights into cause and effect.

Research identifies potential markers for better predicting HNSCC treatment responses.

Research offers insights into survival and quality of life for cancer patients.