Results 131 to 140 of about 753,913 (307)

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Transforming Subjectivities

open access: gold, 2022
Kerstin Jacobsson   +1 more
openalex   +1 more source

Red Blood Cells Internalize Extracellular DNA via Apoptotic Bodies with Clinical Relevance to Cancer Patients

open access: yesAdvanced Science, EarlyView.
Mature red blood cells (RBCs) can capture extracellular DNA, with short fragments homologous to cfDNA. This uptake is mediated by apoptotic bodies, which induce RBC oxidative stress, deformation, and accelerated in vivo clearance. The rbcDNA abundance correlates with tumor burden and therapeutic response, highlighting its potential as a liquid biopsy ...
Zihang Zeng   +20 more
wiley   +1 more source

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

open access: yesAdvanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao   +17 more
wiley   +1 more source

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

open access: yesAdvanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na   +10 more
wiley   +1 more source

Relationships of Impulsivity and Subjective Response to Alcohol Use and Related Problems

open access: green, 2017
Benjamin L. Berey   +3 more
openalex   +2 more sources

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