Results 151 to 160 of about 426,295 (219)

MRMC ROC Analysis of Calcification Detection in Tomosynthesis Using Computed Super Resolution and Virtual Clinical Trials. [PDF]

open access: yesProc SPIE Int Soc Opt Eng, 2020
Barufaldi B   +5 more
europepmc   +1 more source

Transfer RNA‐Derived Small RNA‐5’tiRNAGln Drives HNRNPC Phase Separation to Promote Breast Cancer Bone Metastasis by Regulating IGF1R

open access: yesAdvanced Science, EarlyView.
This study reveals that 5'tiRNA‐Gln interacts with hnRNPC to promote IGF1R liquid‐liquid phase separation, which drives ERK1/2 signaling activation, EMT, and breast cancer bone metastasis. These findings highlight a novel mechanism of breast cancer bone metastasis and potential therapeutic target in metastatic breast cancer.
Bingnan Wang   +9 more
wiley   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

open access: yesAdvanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou   +13 more
wiley   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

open access: yesAdvanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang   +3 more
wiley   +1 more source

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms. [PDF]

open access: yesJ Am Med Inform Assoc
Gao J   +5 more
europepmc   +1 more source

Transformer‐Based Multitask Framework Integrating Habitat and Deep Learning for Predicting Early Disease Control and Survival in Immunotherapy‐Treated Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
This study developed ECOS‐Net, a transformer‐based multitask framework integrating CT‐derived habitat and 2.5D deep learning features to simultaneously predict early disease control and overall survival in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.
Xiaona Fu   +23 more
wiley   +1 more source

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