Results 171 to 180 of about 5,262,248 (269)
Anterior cingulate cortex monitors action state and action content in complex associative learning. [PDF]
Huang W +5 more
europepmc +1 more source
This review examines recent advances in integrating artificial intelligence (AI) with surface‐enhanced Raman spectroscopy (SERS) for the detection of pathogenic bacteria and evaluation of drug resistance phenotypes. Key challenges in clinical translation are critically discussed, along with prospective solutions and future research directions ...
Chen Liu +7 more
wiley +1 more source
Pipeline Flange Bolt Loosening Detection Technology Based on Stress Waves and Deep Learning. [PDF]
Yu C +5 more
europepmc +1 more source
Upon JEV infection, ZNF33B recruits METTL14 to stabilize the METTL3‐METTL14 m6A methyltransferase complex, leading to increased m6A modification of host transcripts, including Trim25 mRNA. ZNF33B selectively binds m6A‐modified sites on Trim25 mRNA and accelerates its decay, resulting in reduced TRIM25 protein abundance.
Jian Du +9 more
wiley +1 more source
Predicting patient-specific quality assurance outcomes in helical tomotherapy using plan complexity and 3D dose-distribution radiomics. [PDF]
Jin X, Xiao X, Guo R, Chen T, Hu C.
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
An Integrated Consensus Machine Learning and Structure-Based Workflow for the Discovery of Novel Tankyrase 1 Inhibitors. [PDF]
Bilotta M +5 more
europepmc +1 more source
A comprehensive overview of dry reforming of methane (DRM), linking reaction mechanisms with catalyst deactivation and rational catalyst design. Strategies based on active‐site engineering, support engineering, and operando mechanistic understanding provide a roadmap for developing durable, cost‐effective catalysts for industrial DRM.
Zihao Teng, Lizhuo Wang, Jun Huang
wiley +1 more source
Multiclass Machine Learning-Based Discovery of Novel Scaffold Inhibitors Targeting ALK. [PDF]
Haque MA +7 more
europepmc +1 more source
This review presents a comprehensive framework for understanding degradation mechanisms, material selection, surface engineering, in situ monitoring, and AI‐enabled predictive modeling in biomedical IoMT devices. It highlights strategies to improve long‐term reliability, durability, and clinical safety of implantable, wearable, and hybrid healthcare ...
Ankur Kumar +8 more
wiley +1 more source

