Results 161 to 170 of about 3,565 (242)

Integrating artificial intelligence (AI) into colorectal cancer reporting

The Journal of Pathology, Volume 268, Issue 4, Page 367-382, April 2026.
Abstract Artificial intelligence (AI) and deep learning (DL) are transforming cancer research and clinical care, with histopathology playing a central role in this transformation. In colorectal cancer (CRC), the second leading cause of cancer mortality world‐wide, multimodal and vision‐language models (VLMs) hold particular promise for enhancing the ...
Konstantin Bräutigam, Ann‐Marie Baker, Viktor H Koelzer, Jakob N Kather, Trevor A Graham   +4 more
wiley   +1 more source

Ex vivo comparative study of at home bleaching products on whitening efficacy and enamel integrity. [PDF]

Sci Rep
Pasquale C, Barberis F, Lagazzo A, Ceseracciu L, Schiaffino M, Benedicenti S, Lo Bello G, Beccari C, Raiteri R, Amaroli A.   +9 more
europepmc   +1 more source

Mechanisms of Surface Meltwater Ponding and Drainage on the Greenland Ice Sheet Revealed Using SkySat Imagery and Deep Learning

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Surface meltwater impacts Greenland Ice Sheet mass balance indirectly by reducing albedo and promoting hydrofracture. However, fully understanding both processes requires accurate mapping of small‐scale features such as ponds, channels, and moulins that govern meltwater formation and drainage. Here we investigate surface water dynamics at high
J. C. Ryan, R. T. Datta, S. W. Cooley
wiley   +1 more source

Robust Directional Analysis of Magnetic Microscopy Images Using Non‐Linear Inversion and Iterative Euler Deconvolution

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract In paleomagnetism, bulk measurements of entire samples have traditionally been used to characterize remanent magnetization. While effective, this approach provides only a general directional estimate and cannot resolve spatial variability or magnetization at the grain scale.
Gelson F. Souza‐Junior, Leonardo Uieda, Ricardo I. F. Trindade, Roger R. Fu, Ualisson D. Bellon, Yago M. Castro   +5 more
wiley   +1 more source

sciMET-cap: high-throughput single-cell methylation analysis with a reduced sequencing burden. [PDF]

Genome Biol
Acharya SN, Nichols RV, Rylaarsdam LE, O'Connell BL, Braun TP, Adey AC.   +5 more
europepmc   +1 more source

Global Detection and Morphological Characterization of Seamounts With Weakly Supervised Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Seamounts are submarine volcanic features that record the tectonic and magmatic evolution of Earth's interior, yet their global distribution remains poorly resolved due to sparse high‐resolution bathymetric coverage. We present a weakly supervised deep learning framework that integrates gravity and bathymetric data to enable global‐scale ...
Zhengfa Bi, Xinming Wu, Xiaohua Xu, Nori Nakata   +3 more
wiley   +1 more source

Assessment of Radiological Safety of Ceramic Tiles Commonly Used in Polish Buildings. [PDF]

Materials (Basel)
Łukaszek-Chmielewska A, Rachwał M, Rakowska J, Ośko J, Konop M, Kosturkiewicz B, Kosturkiewicz M, Łapicz M.   +7 more
europepmc   +1 more source

Inspiration From Games and Entertainment Artifacts: A Rising Paradigm for Designing Mechanisms and Algorithms in Robotics. [PDF]

Front Robot AI, 2019
Tan N, Brahmananthan N, Mohan RE, Prabakaran V.   +3 more
europepmc   +1 more source

Automated workflows for strategy computation and data collection at synchrotron beamlines

Acta Crystallographica Section D, Volume 82, Issue 4, Page 314-329, April 2026.
This paper presents and explains a workflow program for automatically deriving, optimizing and executing complex multi‐sweep diffraction experiments for macromolecular crystallography at synchrotron beamlines.The Global Phasing workflow derives and executes experimental strategies for macromolecular crystallography, optimized in real time for the ...
Rasmus H. Fogh, Peter Keller, Claus Flensburg, Clemens Vonrhein, Wlodek Paciorek, Leigh Carter, Gérard Bricogne   +6 more
wiley   +1 more source

Visualizing energy transfer between redox-active colloids. [PDF]

Sci Adv
Qu AS, Ou Z, Savsatli Y, Yao L, Cao Y, Yu H, Montoto EC, Hui J, Li B, Soares JANT, Kisley L, Bailey BP, Murphy EA, Liu J, Huang J, Evans CM, Schroeder CM, Rodríguez-López J, Moore JS, Chen Q, Braun PV.   +20 more
europepmc   +1 more source