Results 201 to 210 of about 342,644 (288)

Anti‐Slip Material‐Based Strategies and Approaches

Advanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani, Carlo Antonini, Teresa Gatti, Mengjiao Wang   +3 more
wiley   +1 more source

Evaluating the robustness of slide-level AI predictions on out-of-focus whole slide images: A retrospective observational study. [PDF]

J Pathol Inform
Kim HH, Ko YS, Jeong WC, Yun S, Kim K.
europepmc   +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

A fusocelular skin dataset with whole slide images for deep learning models. [PDF]

Sci Data
Del Amor R, López-Pérez M, Meseguer P, Morales S, Terradez L, Aneiros-Fernandez J, Mateos J, Molina R, Naranjo V.   +8 more
europepmc   +1 more source

Ultra‐Thin Soft Pneumatic Actuation for Minimally Invasive Neural Interfacing

Advanced Materials Technologies, EarlyView.
Parylene C is a common polymer in bioelectronics, favored for its biological and chemical inertness. However, this makes bonding layers of Parylene C together very challenging. Here it is a laser to selectively weld layers of Parylene C to create high‐pressure fluidic actuation devices.
Lawrence Coles, Joe G. Troughton, Alejandro Carnicer‐Lombarte, George G. Malliaras, Christopher M. Proctor   +4 more
wiley   +1 more source

Histo-Miner: Deep learning based tissue features extraction pipeline from H&E whole slide images of cutaneous squamous cell carcinoma. [PDF]

PLoS Comput Biol
Sancéré L, Lorenz C, Helbig D, Persa OD, Dengler S, Kreuter A, Laimer M, Lang R, Fröhlich A, Landsberg J, Brägelmann J, Bozek K.   +11 more
europepmc   +1 more source

Nitroxide‐Mediated Photo‐Polymerization: A Swiss Army Knife for Microfluidic Design

Advanced Materials Technologies, EarlyView.
This article illustrates the application of NMP2 to the rapid (less than 1 h) photostructuring and sealing of model structures intended for microfluidic applications. Remarkably, the careful design of resin composition allows completing these steps by simply spreading bare monomer (i.e., no added photoinitiator) on top of the bottom layer embedding ...
Carlo Gonzato, Sandip Wadhai, Jean‐Louis Clement, Florent Malloggi, Yohann Guillaneuf, Olivier Soppera   +5 more
wiley   +1 more source

Artificial intelligence-driven prediction of lymph node metastasis in T1 esophageal squamous cell carcinoma using whole slide images. [PDF]

NPJ Precis Oncol
Ren LH, Ding Y, Zhang YX, Teng KH, Wang L, Zhang WY, Zhu Y, Xu JJ, Wei XY, Wang B, Hu K, Shi RH.   +11 more
europepmc   +1 more source

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

Advanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang, Benji Fenech‐Salerno, Antonio Alessio Leonardi, Federico La Barbera, Felice Torrisi   +4 more
wiley   +1 more source

Multiscale Fourier transform multiple instance learning for the Gleason grading of prostate cancer from whole-slide images. [PDF]

Quant Imaging Med Surg
Xie Z, Zeng J, Tian H, Mai Z, Xiao Y, Zhou Y, Zhou Z, Jia X, Yan W, Qin C.   +9 more
europepmc   +1 more source