Secur-e-Health demonstrates how PETs securely combine healthcare data for better risk predictions. Now available: the PET ...
Keeping private health information confidential is not only a legal obligation but one of the highest ethical priorities at Fred Hutch Cancer Center. Electronic health records track all the clinical ...
Genomic features of prostate cancer patients with and without ductal adenocarcinoma (DA) based on liquid biopsy. This is an ASCO Meeting Abstract from the 2025 ASCO Genitourinary Cancers Symposium.
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...
Stanford Medicine has developed an artificial intelligence model that can accurately predict cancer patients' prognoses and responses to treatment. The first of its kind to leverage multiple types of ...
Remote Patient Monitoring (RPM) uses digital tools like wearables and sensors to track patient health data outside the clinic. Studies show RPM can reduce hospitalizations and ER visits, especially ...