Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine.

Background: Recognising the early signs of ischemic stroke (IS) in emergency settings has been challenging. Machine learning (ML), a robust tool for predictive, preventive and personalised medicine (PPPM/3PM), presents a possible solution for this issue and produces accurate predictions for real-time data processing.

Methods: This investigation evaluated 4999 IS patients among a total of 10,476 adults included in the initial dataset, and 1076 IS subjects among 3935 participants in the external validation dataset.

microRNA-361 targets Wilms' tumor 1 to inhibit the growth, migration and invasion of non-small-cell lung cancer cells.

The expression and functions of microRNA-361 (miR-361) have been studied in various human cancers. However, its expression and role in non‑small‑cell lung cancer (NSCLC) remains unclear. In the present study, the expression levels of miR‑361 in NSCLC tissues and cell lines were determined using reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR).