Results 181 to 190 of about 198,586 (216)

In‐House Manufacturing of 3D ECM Culture Chips via Vacuum Thermoforming for Enhanced Imaging Applications

Advanced Materials Technologies, EarlyView.
Desktop vacuum thermoforming enables rapid, low‐cost fabrication of 96‐channel polystyrene culture chips with very thin imaging interfaces. The resulting platform supports cell lines, primary cells, and patient‐derived organoids, and enables high‐resolution confocal microscopy and single‐cell visualization, providing an accessible approach for advanced
Aleksandra Fomina, Adam Tam, Jennifer Lam, Nila C. Wu, Nancy T. Li, Alison P. McGuigan   +5 more
wiley   +1 more source

Machine Learning-Driven Refinement of Reactive Force Fields via Hierarchical "Center-Environment" Features for Energetic Molecular Crystals. [PDF]

Molecules
He Q, Wang P, He X, Zhang J, Liu Y.
europepmc   +1 more source

Moisture‐Adaptive Triboelectric Materials and Platforms: Design Strategies, Performance Enhancement, and Applications in Energy Harvesting and Wearable Electronics

Advanced Materials Technologies, EarlyView.
This review summarizes moisture‐adaptive strategies that enable triboelectric nanogenerators (TENGs) to operate across diverse moisture conditions. It examines moisture‐management methods, including exclusion, directional transport, removal, and utilization, with charge‐regulation approaches based on interfacial, dielectric, and structural engineering.
Junzhe Gan, Zhao Sha, Xuehua Zhang, Hoang‐Phuong Phan, Jin Zhang   +4 more
wiley   +1 more source

Comparative analysis of machine learning techniques for cardiovascular disease prediction. [PDF]

PLoS One
Uddin MM, Binyamin M, Fahim MMM, Karim MR.   +3 more
europepmc   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Machine Learning Prediction of Anterior Open-Bite Development After Stabilization Splint Treatment in Temporomandibular Disorder. [PDF]

Clin Exp Dent Res
Hwang JJ, Jeon HM, Ju HM, Jeong SH, Ahn YW, Ok SM.   +5 more
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Predicting Antileishmanial Activity of Plant-Derived Compounds Using Random Forest Modeling. [PDF]

MicroPubl Biol
Highgate A, Stillson PT, Washington J, Davenport D.   +3 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Flexible Gait Sensing and Machine Learning Recognition Based on Phase-Separated PVDF-HFP Films. [PDF]

Sensors (Basel)
Liang H, Shao Q, Wu F, Xiong Y, Wang W, Su H, Huang X, Hu Z, Wang Y, He L.   +9 more
europepmc   +1 more source