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 ...

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 ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

Early trials, carried out in 1959, focused on making driving safer in poor weather. Within a year or two, the researchers got ...

Data Access As the registry progresses in size and maturity, we anticipate making the BOLD resources available to researchers interested in evaluating diagnostic tests, treatments, and outcomes ...

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.

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

17.03.2022: Medicine and numbers - In some studies, the outcome variable is measured several times for the same person, for example in studies where the patients are examined at more than one ...

Syllabus: The NTA has put the official JEE Main 2026 Syllabus online on their website: jeemain.nta.nic.in. If you're planning ...