Results 141 to 150 of about 1,756,538 (293)
From surface to depth: Using deep learning to predict striatal fMRI reward signaling from EEG. [PDF]
Herzog N +7 more
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
A Regional DNA Barcode Library for Northern Rocky Mountain Arthropods to Support Biodiversity and Molecular Ecological Research. [PDF]
Seidensticker MT +3 more
europepmc +1 more source
In this work, ultrafast laser‐induced spin transfer and spin relaxation dynamics in 2D van der Waals antiferromagnetic CrI3/CrGeTe3 heterostructures are investigated. Laser excitation is demonstrated to induce pronounced interlayer nonequilibrium spin dynamics and ultrafast magnetic moment reconstruction, driving a transition from an antiferromagnetic (
Yang Wu +5 more
wiley +1 more source
The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization. [PDF]
Baracchini G +12 more
europepmc +1 more source
Disulfide‐Bridged Ru Complex–Mediated Photo‐Disulfidptosis for Colorectal Cancer Therapy
In this work, a binuclear ruthenium complex, RuSSRu was developed for efficient colorectal cancer (CRC) treatment. The synergistic interaction between disulfidptosis and lysosomal damage‐induced apoptosis induced by RuSSRu amplified tumor cell death. This innovative approach offers a potent therapeutic strategy for CRC.
Simeng He +8 more
wiley +1 more source
Decoding of columnar-level organization across cortical depth using BOLD- and CBV-fMRI at 7 T. [PDF]
Haenelt D +5 more
europepmc +1 more source
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
Digital Twin Brain: Generating Multitask Behavior from Connectomes for Personalized Therapy. [PDF]
Takahashi Y +3 more
europepmc +1 more source

