Results 151 to 160 of about 748,707 (290)
Membrane‐bound multimodal transducers enable longitudinal ultrasound‐guided photoacoustic monitoring and in situ thermal control of CAR T cells in heterogeneous solid tumors. Imaging correlates T cell trafficking with tumor response, distinguishing responders from nonresponders.
Myeongsoo Kim +14 more
wiley +1 more source
The point‐of‐care diagnosis of Clostridioides difficile infection remains challenging due to reliance on slow culture and amplification‐based methods. A lab‐in‐a‐tube electrochemical biosensor integrating DNAzymes, antifouling magnetic beads, and a hierarchically structured flow cell enables amplification‐ and culture‐free detection directly in stool ...
Survanshu Saxena +10 more
wiley +1 more source
A Prospective Tumour Marker for Breast Cancer: YWHAB and Its Role in Promoting Oncogenic Phenotypes
Vaishnavi L Gopaul,* Lacey Winstone,* Beatrice G Gatien,* Braydon D Nault, Sujit Maiti, Reid M Opperman, Mousumi Majumder Department of Biology, Brandon University, Brandon, MB, Canada*These authors contributed equally to this ...
Gopaul VL +6 more
doaj
Electrophysiological Markers in Hypertrophic Cardiomyopathy: Enhancing Sudden Cardiac Death Risk Prediction with Index of Cardiac Electrophysiological Balance and Its Corrected Variant. [PDF]
Balaban İ +7 more
europepmc +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Correction: Evaluation of liver fibrosis using diffusion-weighted virtual magnetic resonance elastography and ultrasound elastography. [PDF]
Onar MA, Nural MS, Deveci A, Meydan BC.
europepmc +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Analysis of novel predictors of acute kidney injury after non-cardiac surgery: an integrative review. [PDF]
Rosa ACRC +4 more
europepmc +1 more source

