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.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

After the script completes there should be a data folder in the biokg folder This data folder will have 4 folders sources which contains the sources used to compile BioKG preprocessed which contains ...

Discussion Longitudinal data from this observational study did not show an increase in CV risk factors in patients who develop PsA compared with controls. In fact, the PsA group experienced a smaller ...

Nowadays, many computer and communication systems generate graph data. Graph data span many different domains, ranging from online social network data from networks like Facebook to epidemiological ...

Weather experts are warning that hurricane forecasts will be severely hampered by the upcoming cutoff of key data from U.S. Department of Defense satellites, the latest Trump administration move wi… ...

☂️ 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 ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...

Velsera's Global Data Network Redefines How Pharma and Biotech Access Real-World, Longitudinal Clinicogenomic Data at Scale By Velsera Jun 24, 2025 Velsera By Velsera ...

At the FSHD Society's 32nd annual International Research Congress (IRC), held June 12th and 13th in Amsterdam, Amanda Hill, Senior Director of Research and Care for the Society, announced the launch ...