Results 231 to 240 of about 2,041,584 (301)

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

open access: yesAdvanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang   +10 more
wiley   +1 more source

Grain Boundary Structure Ordering via Electroshock Treatment Enhances Strength‐Ductility Synergy

open access: yesAdvanced Science, EarlyView.
Electroshock treatment triggers atomic rearrangement, transforming disordered grain boundaries into ordered states without inducing recrystallization. This grain boundary ordering effectively relieves strain concentration and strengthens boundaries, enabling a simultaneous improvement in both strength and ductility.
Jiancheng Chen   +6 more
wiley   +1 more source

Polus: a context-aware enhancement framework for DNA storage via transformer-based soft-decision decoding. [PDF]

open access: yesBioinformatics
Ding L   +8 more
europepmc   +1 more source

Dual‐line Genome‐scale CRISPR Screening Enables Robust Target Gene Discovery

open access: yesAdvanced Science, EarlyView.
A species‐optimized CRISPR platform integrates efficient piggyBac delivery, genome‐scale sgRNA libraries, and parallel screening in two independently engineered Bactrocera dorsalis Cas9 cell lines. Cross‐line consensus analysis filters line‐specific effects, enriches candidates with reproducible in vivo phenotypes, and reveals conserved, species ...
Ziniu Li   +9 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Multiphoton Quantum Reservoirs For Robust Multidimensional Computing

open access: yesAdvanced Science, EarlyView.
Projective measurements reveal hidden multidimensional quantum networks within classical multiphoton fields, enabling robust quantum reservoirs for room‐temperature quantum simulation, prediction, and information processing. These networks transform noisy classical photonic platforms into scalable quantum computational architectures.
Mingyuan Hong   +10 more
wiley   +1 more source

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