Results 71 to 80 of about 69,298 (248)
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
Advanced Science, EarlyView.A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
ADAM-17 Is Activated by the Mitogenic Protein Kinase ERK in a Model of Kidney Fibrosis [PDF]
The American Journal of the Medical Sciences, 2010 Chronic kidney disease affects 1 of 9 Americans. Recent studies showed increased activation of the metalloenzyme disintegrin ADAM-17 during the development of the disease and that threonine phosphorylation of ADAM-17 may be an important regulator of the enzyme activity.
L. Gabriel Navar +3 more
openaire +2 more sources
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Advanced Science, EarlyView.Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Advanced Science, EarlyView.This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
Rhenium‐Based β‐Galactosidase Probe Allows Senescence Profiling by Mass Cytometry
Angewandte Chemie, EarlyView.Senescence‐associated β‐galactosidase (SA‐β‐Gal) activity is a widely accepted biomarker of cellular senescence, yet its integration with other senescence markers has been limited by available detection methods. Here, we introduce ReGal, a mass cytometry‐compatible SA‐β‐Gal activity probe that can be multiplexed with established markers of senescence ...
Adam Tam +4 more
wiley +2 more sources
Toward Personalized Theranostics: A Modular PET Platform for Antibody‐Based Imaging and Therapy
Advanced Science, EarlyView.This modular, site‐specific antibody platform enables customizable conjugates for PET imaging and therapy. Interchangeable payloads – including radiometals, cytotoxics, and fluorophores – support adaptable, multimodal applications with limited off‐target effects. In vivo, the DFO/DOTAGA bischelate immunoconjugate provided clear tumor delineation in PET/
Delphine Vivier +16 more
wiley +1 more source
Macrophage‐derived MLKL in alcohol‐associated liver disease: Regulation of phagocytosis
Hepatology, EarlyView., 2022 EtOH causes leaky gut allowing bacteria and PAMPs into the liver, resulting in hepatic inflammation and injury. We demonstrate that LPS induces STAT1‐mediated expression and phosphorylation of MLKL in macrophages and identify a novel function that myeloid MLKL translocates to phagosomes and lysosomes and regulates phagocytosis, which contributes to the
Xiaoqin Wu +16 more
wiley +1 more source
Advanced Science, EarlyView.ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source