Machine learning meets the sea: Unveiling a formula for anticipating colossal waves
Recent advancements in artificial intelligence and machine learning have yielded a formula enabling the accurate prediction of monster waves. This…
Recent advancements in artificial intelligence and machine learning have yielded a formula enabling the accurate prediction of monster waves. This…
Maturity-onset diabetes of the young (MODY) is a hereditary form of diabetes, typically diagnosed before the age of 25. Unlike…
Erucic acid is a byproduct of grease processing that is often wasted. However, new research has shown that it can…
Medicarpin, a potent bioactive compound found in plants like Sophora japonica and Glycyrrhiza species, exhibits diverse medicinal properties. Despite limited…
Yeast Glucan Particles (YGPs), emerging drug carriers, exhibit specific uptake by macrophages, aiding targeted imaging and drug delivery to inflammation…
Selinexor, a novel inhibitor for multiple myeloma (MM), faces limited research on resistance. Heterogeneous nuclear ribonucleoprotein U (hnRNPU) was identified…
The study developed a multi-omics approach to predict short-term COVID-19 progression in ICU patients. Analyzing data from 32 SARS-CoV-2-infected patients,…
The cyclic cyclic guanosine monophosphate-adenosine monophosphate synthase-stimulator of interferon genes (cGAS)-stimulator of interferon genes (STING) pathway is important in innate…