Results 151 to 160 of about 278,242 (279)
Privacy-preserving verification of preprocessing in federated learning for genomic data. [PDF]
Li W +4 more
europepmc +1 more source
Schematic illustration of the synthesis protocol for Fe‐SH@Fn, an AML‐targeted nanoplatform engineered to co‐deliver shikonin (SH) and Fe3+, synergistically boosting antitumor immunity via ferroptosis induction and immunogenic cell death (ICD). ABSTRACT Acute myeloid leukemia (AML) remains a therapeutic challenge due to its low immunogenicity and ...
Shangqin Yang +9 more
wiley +1 more source
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He +28 more
wiley +1 more source
Axial Fluorine and Light‐Induced Oxygen Vacancies Synergize as an Electron Pump to Lower N2 Activation Energy and Enable Sustained NH3 Synthesis on FBWO. ABSTRACT The electronic structure precision of single‐atom catalysts (SACs) represents a decisive factor limiting advancements in photocatalytic nitrogen reduction (NRR) efficiency.
Xiao Ge +6 more
wiley +1 more source
Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems. [PDF]
Tanvir MIM +4 more
europepmc +1 more source
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun +13 more
wiley +1 more source
Privacy-preserving of endoscopy documentations with reasoning-aware focused large language models. [PDF]
Ray PP.
europepmc +1 more source
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy +8 more
wiley +1 more source
EUPID-configurable privacy-preserving record linkage in federated health data spaces. [PDF]
Hayn D +10 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

