Results 141 to 150 of about 124,822 (278)

Deciphering and Targeting the Schwannoma‐Neuron‐Macrophage Crosstalk for the Treatment of Schwannomatosis and Associated Pain

open access: yesAdvanced Science, EarlyView.
We established patient‐derived SWN cell lines and orthotopic PDX models that recapitulate patient pain phenotypes, alongside a novel intravital DRG imaging platform to track macrophage infiltration and neuronal pain responses. Using these models, we define HMGB1–CCL2–IL‐6 signaling crosstalk driving pain and identify EGF signaling as a key regulator of
Zhenzhen Yin   +17 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

Activated Platelet–Released Heat Shock Protein 90α Triggers Autophagy‐Dependent Neutrophil Extracellular Trap Formation and Amplifies Sepsis

open access: yesAdvanced Science, EarlyView.
HSP90α is significantly upregulated in platelets from sepsis patients, with its origin from megakaryocyte‐derived trafficking. Furthermore, activated platelets secrete HSP90α into the extracellular space in both free and exosome‐associated forms. Finally, extracellular HSP90α directly engages TLR4 on neutrophils to induce autophagy, leading to NET ...
Chengbo Wang   +17 more
wiley   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
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

Public-Key Encryption

open access: yesThe Journal of the Institute of Image Information and Television Engineers, 2015
openaire   +2 more sources

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

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