PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the ...

They also show that models learned from nonsynonymous mutations and from out-of-frame sequences are different, prompting new questions about germinal center function. Strengths of the study include an ...

Researchers at Ruhr University Bochum, Germany, have shed light on the structure of supercritical water. In this state, which ...

Researchers at the Kennedy Institute have developed a new computational framework that allows simultaneous analysis of gene expression and mechanical forces within cells and tissues, uncovering ...

Maternal stress is a major risk factor for preterm birth (PTB), with recent mouse studies highlighting the role of FKBP51 in stress-induced PTB. This study identifies the 15dPGJ2-mediated inhibition ...

The luxury market is under siege. Counterfeits, fraudulent goods, and supply chain manipulation are no longer just nuisances-they are an existential threat to brands that have spent decades, even ...

Chen, F. (2025) Advances in the Application of Deep Learning in Prognostic Models for Non-Small Cell Lung Cancer. Health, 17, ...

With pharmaceutical and biotechnology R&D witnessing unprecedented growth, molecular spectroscopy methods such as nuclear magnetic resonance (NMR), Fourier transform infrared (FTIR), and Raman ...

Synopsis: In a case with implications for the litigious molecular diagnostics space and written description law, Chief Judge Connolly ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their ...

Classification of Genetic Disorders and Familial Diseases: Molecular pathology performed for cystic fibrosis, thalassemia, ...

Imagine a microscopic locomotive moving back and forth along a track, propelling itself without any external force. At the molecular level, this concept forms the foundation of molecular motors -- ...