Results 221 to 230 of about 43,201,948 (340)

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

open access: yesAdvanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong   +14 more
wiley   +1 more source

Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide. [PDF]

open access: yesJ Pathol
Montezuma D   +9 more
europepmc   +1 more source

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

open access: yesAdvanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li   +8 more
wiley   +1 more source

Bridging the digital pathology divide: reciprocal learning between high-resource and low-resource settings. [PDF]

open access: yesBMJ Digit Health Ai
Mirza KM   +9 more
europepmc   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

open access: yesAdvanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes   +13 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

Sticker Valence Governs Chain Collapse and Liquid‐Liquid Phase Separation in Peptide‐Inspired Associative Polymers

open access: yesAdvanced Science, EarlyView.
Peptide‐inspired associative polymers with arginine‐like guanidinium stickers and lysine‐like ammonium spacers undergo chain collapse and liquid‐liquid phase separation induced by reversible sticker associations. Sticker valence and tunable association strength jointly control the phase behavior, chain conformation, and interfacial cohesion of these ...
Seung‐Hwan Oh   +7 more
wiley   +1 more source

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