A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Discover how pre-stratification enables you to reduce clinical trial size without sacrificing statistical power.

We are at a critical crossroads for the clinical use of ctDNA in early-stage breast cancer, according to Dr. Heather A. Parsons. “What if we could reliably identify molecular re ...

A medically trained LLM screened 1476 EMR records in one week, synthesizing structured variables and free-text notes to ...

Manufacturing optimization is projected to expand batch output by ~50%, improving supply reliability and supporting higher-throughput PSMA PET imaging services. Increased radioactivity extends shelf ...

Colonoscopy may be inconvenient and require planning, but the consequence and therapy for cancer is far more burdensome.

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

A custom NGS panel covering 27 IARC carcinogenic HPV genotypes enabled detection of ccfHPV DNA across treatment strata and ...

Receiving an alert increased the probability of undiagnosed hypertension, but absence of an alert did not reliably rule it out and should not replace cuff-based screening.

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

Yet overall performance was good with both the ESC and High-STEACS strategies, leaving hospitals room to choose.