This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

A breakthrough study has developed a model that accurately predicts the failure of lithium metal anodes using electrochemical curve data from just the first two cycles. The model offers new insights ...

The TMS is the perfect platform between a fleet and its data. In the AI boom, that data is key. Here is how TMS providers are ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

The Evolution of Hair Care in the Digital Age The hair care industry has undergone a remarkable transformation in recent years, evolving from simple cleansing routines to sophisticated regimens ...

People with anxiety or depression show distinct patterns in their gut bacteria, and commonly prescribed psychiatric ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Cardiac amyloidosis (CA) is a progressive disease characterized by extracellular deposition of misfolded proteins, leading to myocardial dysfunction and poor prognosis. Early and accurate diagnosis ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...