Results 241 to 250 of about 156,386 (347)

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

open access: yesAdvanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti   +8 more
wiley   +1 more source

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

open access: yesAdvanced Intelligent Systems, EarlyView.
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson   +4 more
wiley   +1 more source

Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling

open access: yesAdvanced Intelligent Systems, EarlyView.
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park   +8 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

open access: yesAI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source

An in silico evaluation of signal and separability properties of k-edge materials in spectral CT. [PDF]

open access: yesSci Rep
Rajagopal JR   +5 more
europepmc   +1 more source

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