Acute Neurological Complications After Transplantation in Methylmalonic Acidemia: A 35-Patient French Cohort. [PDF]
Vissac A +25 more
europepmc +1 more source
Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang +8 more
wiley +1 more source
A multi-model fusion approach incorporating conventional radiological and machine learning features across age spectrum for periorbital fat status prediction. [PDF]
Wang M +6 more
europepmc +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. [PDF]
Anagnostopoulos T +4 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Smart room occupancy detection using neural networks and the puma optimization algorithm. [PDF]
El-Kenawy EM +6 more
europepmc +1 more source
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
A refined SMOTE-ENN optimization method based on machine learning for heart rate variability data classification. [PDF]
Zhang B +10 more
europepmc +1 more source

