This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

Overview AI programmers are needed in many fields, from health care to finance and from cars to online apps. The need for ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...

Overall, this study further demonstrates the utility of high-content morphological analysis as a tool for the identification of senescent ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

That's what Obsidian is, and one of the reasons it's a great tool for folks who are new to taking notes. Aside from its ...

In 2025, there are tons of ways to learn Python for free. This guide will walk you through how to get started, where to find ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Centennial brands partner with Microsoft AI to unlock creativity, accelerate growth, and redefine what’s possible. Learn more ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...