Results 211 to 220 of about 546,017 (306)

NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores. [PDF]

Bioinformatics
Xie Y, Li J, Zhang Z, Meng B, Dai S, Zhou Y, Kennedy E, Jiao N, Chen H, Dong Z.   +9 more
europepmc   +1 more source

From Differentiable Reasoning to Self-supervised Embodied Active Learning

, 2021
Ruslan Salakhutdinov
openalex   +1 more source

Mapping Charge Interactions in Intrinsically Disordered Proteins

Advanced Science, EarlyView.
This study presents analytical models to predict intrachain distances in intrinsically disordered proteins (IDPs), accounting for charge patterning, salt concentration, and electrostatic effects. Validated against single‐molecule FRET data, a minimal‐parameter polymer model is identified that captures key interactions and chain dimensions. These models
Michael Phillips, Andrea Holla, Magdalena Wojtas, Aritra Chowdhury, Andrea Sottini, Sebastian L. B. König, Natalie Mutter, Nick Lamb, Jonathan Huihui, Monika Lopko, Andrea Soranno, Daniel Nettels, Andrzej Ożyhar, Benjamin Schuler, Kingshuk Ghosh   +14 more
wiley   +1 more source

A generalizable 3D framework and model for self-supervised learning in medical imaging. [PDF]

NPJ Digit Med
Xu T, Hosseini S, Anderson C, Rinaldi A, Krishnan RG, Martel AL, Goubran M.   +6 more
europepmc   +1 more source

Genetic underpinnings of predicted changes in cardiovascular function using self supervised learning [PDF]

Zachary Levine, Guy Lutsker, Anastasia Godneva, Adina Weinberger, Maya Pompan, Yeela Talmor‐Barkan, Yotam Reisner, Hagai Rossman, Eran Segal   +8 more
openalex   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology. [PDF]

JHEP Rep
Beaufrère A, Lazard T, Nicolle R, Lubuela G, Augustin J, Albuquerque M, Pichon B, Pignolet C, Priori V, Théou-Anton N, Lesurtel M, Bouattour M, Mondet K, Cros J, Calderaro J, Walter T, Paradis V.   +16 more
europepmc   +1 more source

Implicit sensing self-supervised learning based on graph multi-pretext tasks for traffic flow prediction [PDF]

Ali Reza Sattarzadeh, Pubudu N. Pathirana, Marimuthu Palaniswami   +2 more
openalex   +1 more source

Single‐Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys

Advanced Science, EarlyView.
Single‐cell profiling across bone marrow, spleen, mesenteric lymph, and blood in rhesus monkeys reveals organ Immunosenescence. GZMB rises with age, particularly in cytotoxic and terminally exhausted CD8+ T cells, and BHLHE40 emerges as a key transcription factor enriched across multiple CD8+ subsets, regulating pro‐inflammatory and exhaustion‐related ...
Shengnan Wang, Zhengna Zhu, Hongju Yang, Yaping Yan, Luyao Ran, Naixue Yang, Yichao Wang, Li Wu, Bing Bai, Weizhi Ji, Wei Si   +10 more
wiley   +1 more source

Stretchable Curvature Sensors for Motion Capture with Bending‐Stretching Coupling Deformation

Advanced Science, EarlyView.
Stretchable curvature sensors based on a wavy symmetric stacked‐layer structure (WSSLS) enable decoupled bending‐stretching detection with high linearity, repeatability, and durability. Integrated into smart gloves, the sensors achieved precise motion capture and human‐robot interaction, with slip‐simulation tests demonstrating a remarkable 93.6 ...
Tairan Wang, Xinkai Xu, Shuang Li, Yuqun Lan, Kai Chen, Wei Li, Guangyuan Wang, Kuai Yu, Lijuan Sun, Yewang Su   +9 more
wiley   +1 more source