A MicroRNA Approach to Evaluating Elevated Prostate Cancer Risk in Cancer-Free Men.

Objective criteria are required for prostate cancer (PCa) risk assessment, treatment decisions, evaluation of therapy, and initial indications of recurrence. Circulating microRNAs were utilized as biomarkers to distinguish PCa patients from cancer-free subjects or those encountering benign prostate hyperplasia. A panel of 60 microRNAs was developed with established roles in PCa initiation, progression, metastasis, and recurrence.

Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Background: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lead to characteristic patterns in the results of widely available, routine blood tests that could be identified with machine learning methodologies. Machine learning modalities integrating findings from these common laboratory test results might accelerate ruling out COVID-19 in emergency department patients.