Results 211 to 220 of about 290,651 (321)
Entropy derived from gray matter eigenmodes captures cortical disorganization in Alzheimer's disease. Using multimodal MRI and amyloid‐PET data, this novel structure–function coupling biomarker enables accurate classification of clinical stages, predicts Aβ burden, and stratifies mild cognitive impairment subtypes.
Yumeng Li +5 more
wiley +1 more source
A novel approach integrating topological deep learning from EEG Data in Alzheimer's disease. [PDF]
Esteve M +4 more
europepmc +1 more source
A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness
Disorders of consciousness after severe brain injury are marked by reduced complexity of brain activity and limited treatment options. Using personalized whole‐brain models, this study shows that simulated lysergic acid diethylamide (LSD) and psilocybin shift patient brain dynamics closer to criticality.
Naji L.N. Alnagger +17 more
wiley +1 more source
This study reconstructs the driving force field of fibroblast‐to‐neuron transdifferentiation from sparse single‐cell images by decomposing it into flux and time‐dependent potential gradient, extending the landscape‐flux framework to non‐steady‐state systems.
Chudan Yu +3 more
wiley +1 more source
Detection of brain network abnormalities by graph invariants in Alzheimer's disease using MRI images. [PDF]
NallappaBhavithran G, Selvakumar R.
europepmc +1 more source
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang +9 more
wiley +1 more source
Theory of topological superconductivity and antiferromagnetic correlated insulators in twisted bilayer WSe<sub>2</sub>. [PDF]
Tuo C, Li MR, Wu Z, Sun W, Yao H.
europepmc +1 more source
SpaBalance: Balanced Learning for Efficient Spatial Multi‐Omics Decoding
SpaBalance is a computational framework that harmonizes multi‐omics learning via gradient equilibrium and dual‐stream feature decomposition, achieving superior clustering accuracy, biological interpretability, and scalable integration of three or more spatial omics modalities.
Yingbo Cui +8 more
wiley +1 more source
Image-Processing-Driven Modeling and Reconstruction of Traditional Patterns via Dual-Channel Detection and B-Spline Analysis. [PDF]
He X, Chen S, Kuang Y, Yang X.
europepmc +1 more source

