Reducing liver fat has become a central target in the development of therapies for metabolic dysfunction–associated ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Objectives Assess the efficacy and safety profiles of different sodium-glucose cotransporter-2 inhibitors (SGLT2is) as an add-on to metformin in type 2 diabetes mellitus (T2DM) patients. Design ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...

Objectives High-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd.

Abstract: Weather forecasting has never been an easy task-owing to the complex and dynamic nature of atmospheric systems. Conventional techniques of weather forecast mainly involve deterministic ...

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