Results 231 to 240 of about 7,910,042 (288)
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Orientation detection for self-calibrating neuromorphic systems. [PDF]
Pequeño-Zurro A +2 more
europepmc +1 more source
Intrinsically stretchable OECTs enable bifunctional operations via gate engineering. Polarizable Ag/AgCl gates provide volatile sensing, while Au gates enable non‐volatile memory. The SEBS‐blended channel maintains performance under strain, supporting reliable signal transduction.
Jiyong Yoon +8 more
wiley +1 more source
Hierarchical affective predictive imbalance in adolescent borderline personality disorder: task-evoked fMRI evidence from multimodal machine learning. [PDF]
Ma M +7 more
europepmc +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
AΙ-Driven Interventions for Neurocognitive, Self-Regulation, and Adaptive Skill Development in Neurodevelopmental and Cognitive Disorders: A Systematic Review of Randomized Controlled Trials. [PDF]
Mitsea E, Drigas A, Skianis C.
europepmc +1 more source
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
Machine Learning-Guided Discovery of Novel Inhibitors of Escherichia coli MurB. [PDF]
Song S, Liu Q, Luo A, Shi X, Si X.
europepmc +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
From Pellets to Prizes: Preclinical and Clinical Perspectives on Contingency Management for the Treatment of Substance Use Disorder. [PDF]
Carlson HN, Carlson RM.
europepmc +1 more source

