Results 201 to 210 of about 315,009 (291)

Cholesterol‐DNA Origami Nanostructures for Synthetic Lipid Rafts Induce Early T Cell Activation Signals

Advanced Materials Interfaces, EarlyView.
Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung, Young‐Joo Kim, Kunwoo Noh, Sunmi Lee, Minsuk Kwak   +4 more
wiley   +1 more source

A Novel Unsupervised You Only Listen Once (YOLO) Machine Learning Platform for Automatic Detection and Characterization of Prominent Bowel Sounds Towards Precision Medicine. [PDF]

Bioengineering (Basel)
Yerrapragada G, Lee J, Shariff MN, Elangovan P, Gopalakrishnan K, Kaur A, Sood D, Rapolu S, Gohri J, Panjwani GAR, Ansari RA, Mikkilineni J, Asadimanesh N, Natarajan T, Janarthanan J, Karuppiah SS, Iyer VN, Helgeson SA, Akshintala VS, Arunachalam SP.   +19 more
europepmc   +1 more source

Roadmap to Precision 3D Printing of Cellulose: Rheology‐Guided Formulation, Fidelity Assessment, and Application Horizons

Advanced Materials Technologies, EarlyView.
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini, Hadi Hosseini, Seyyed Alireza Hashemi, Mohammad Arjmand   +3 more
wiley   +1 more source

Improving dOCT image quality with short sequences and automated binning. [PDF]

Biomed Opt Express
Heldt N, Holzhausen C, Ahrens M, Pieper M, König P, Hüttmann G.   +5 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing

Advanced Materials Technologies, EarlyView.
The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei, Benjamin Corl, Md. Azahar Ali   +2 more
wiley   +1 more source

Automatic detection of sister chromatid exchanges using machine learning models and image analysis algorithms. [PDF]

Sci Rep
Teraoka M, Matsumoto S, Kawasumi R, Nishikawa K, Okubo K, Abe T.   +5 more
europepmc   +1 more source

Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. [PDF]

Neuroimage, 2014
Jin Y, Shi Y, Zhan L, Gutman BA, de Zubicaray GI, McMahon KL, Wright MJ, Toga AW, Thompson PM.   +8 more
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source