Results 211 to 220 of about 189,735 (289)

vEMINR: Ultra‐Fast Isotropic Reconstruction for Volume Electron Microscopy With Implicit Neural Representation

open access: yesAdvanced Science, EarlyView.
vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang   +7 more
wiley   +1 more source

Construction of PANoptosis‐Inhibiting Carbonized Polymer Dots via Machine Learning Potential for Mitigating Chemodrug‐Induced Nephrotoxicity

open access: yesAdvanced Science, EarlyView.
An enhanced sampling method is developed for molecular dynamics based on trained machine learning force fields to guide the construction of PANoptosis‐inhibiting carbonized polymer dots (Lu‐CDs) derived from a flavonoid compound for treating chemodrug‐induced nephrotoxicity.
Xinchen Liu   +8 more
wiley   +1 more source

Socioeconomic Outcomes of Adults With Perinatally Acquired Human Immunodeficiency Virus (HIV) Compared to Their Siblings Without HIV: A Nationwide Cohort Study From The Netherlands. [PDF]

open access: yesOpen Forum Infect Dis
van Bilsen WPH   +9 more
europepmc   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

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