We present a novel joint prognostic framework for the integrated analysis and uncertainty quantification of longitudinal (i.e., multi-sensor degradation signals) data and time-to-event data.

LinkedIn is always working, even when you’re not. The HI-UPS framework helps you clarify your goal and align your presence ...

Objectives The aim of this population-based study was to compare changes in cardiovascular (CV) risk factors over a decade-long period in patients who developed psoriatic arthritis (PsA) and the ...

☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data ...

One thing this data makes very clear is that our intuition about what should work kind of sucks. For example, candids shots got 15 percent more likes.

Yet, an astonishing 97% of healthcare data goes unused, and over 70% of pharma research data searches end in failure. There's a clear need for a better way to seamlessly connect data with researchers.

The BetterLife Research Gateway is a centralized portal for exploring and requesting data contributed directly by people living with FSHD. With more than 500 participants currently enrolled, the ...

ALPHARETTA, Ga.& INDIANAPOLIS---- Agilysys, Inc., a leading global provider of hospitality software and services, announced at HITEC 2025 Intelligent Guest Profiles– a transformative advance in ...

NEVADA, IOWA / ACCESS Newswire / June 17, 2025 / The ALMACO D1 Data Collection Unit is a new modern seed research solution designed to deliver precise, real-time plot harvest yield data. Built ...

Soft failures in optical networks pose a significant challenge, as their detection and localization are notoriously difficult. This often leads to suboptimal mitigation strategies being implemented ...