Results 121 to 130 of about 259,250 (296)

Dense Nanofibrillar Collagen–Silica Hybrids with High Strength and ECM‐Mimetic Tissue Integration

Advanced Functional Materials, EarlyView.
Dense nanofibrillar collagen–silica hybrids are engineered by synchronizing collagen fibrillogenesis with silica condensation, producing printable scaffolds that unexpectedly approach native extracellular matrix organization and strength. These cell‐free constructs guide endogenous cell‐infiltration, enable localized matrix remodeling, and integrate ...
Norein Norein, Shima Tavakoli, Philipp Wolf, Xie Ling, Veronica Rondahl, Klaus Leifer, Gry Hulsart‐Billström, Jöns Hilborn   +7 more
wiley   +1 more source

A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection

IEEE Access
Lung and colon cancers are among the leading causes of cancer-related deaths worldwide. Early detection significantly enhances survival rates, but traditional diagnostic methods, which rely on manual analysis of histopathological images, are labor ...
Chandrasekar Venkatachalam, Priyanka Shah   +1 more
doaj   +1 more source

Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles

Advanced Functional Materials, EarlyView.
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati, Yoann Lalatonne, Cédric Chauvierre   +2 more
wiley   +1 more source

An artificial intelligence model for early-stage breast cancer classification from histopathological biopsy images

Frontiers in Artificial Intelligence
Accurate identification of breast cancer subtypes is essential for guiding treatment decisions and improving patient outcomes. In current clinical practice, determining histological subtypes often requires additional invasive procedures, delaying ...
Neil Chaudhary, A. Z. Dhunny
doaj   +1 more source

Self‐Powered Permeable Electronic Dressing for Exudate Management, Electrostimulation and Drug Delivery in Chronic Wound Healing

Advanced Functional Materials, EarlyView.
This study develops a self‐powered permeable electronic dressing (SPED) that synergistically integrates exudate management, electrical stimulation, and on‐demand drug delivery. The dressing effectively absorbs exudate while demonstrating potent antibacterial activity and accelerated tissue regeneration in diabetic mouse models, thereby promoting ...
Jiaheng Liang, Jingjing Fu, Jin Chai, Hongyu Jiang, Fan Chen, Yufei Zhang, Weihao Zhao, Xian Song, Zhihao Zhou, Lingtao Fang, Qiyao Huang, Peng Li, Zijian Zheng   +12 more
wiley   +1 more source

TRI-BCC: Tri-Level Breast Cancer Classification via Transfer Learning Networks with Histopathological Images

Measurement Science Review
Breast cancer (BC) is the second most common hereditary cancer in women and is most likely to affect women. The high cost of treating BC has made its prevention an important health issue.
Rajalingam Sridevi, Maruthai Kavitha
doaj   +1 more source

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

IEEE Access
Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment plans.
Helala M. Alshehri
doaj   +1 more source

Deep Learning for Histopathological Image Analysis

, 2023
The discovery of cells led to the development of the concept of cellular pathology, which states that a diagnosis can be made by examining cells.Today, microscopic analysis of tissue is used daily in the work routines of pathologists to establish diagnosis of various pathologies in all types of organs.Since tissues collected from patients are often ...
openaire   +2 more sources

Histopathologic Image Processing: A Review

, 2019
Histopathologic Images (HI) are the gold standard for evaluation of some tumors. However, the analysis of such images is challenging even for experienced pathologists, resulting in problems of inter and intra observer. Besides that, the analysis is time and resource consuming.
de Matos, Jonathan, Britto Jr., Alceu de Souza, Oliveira, Luiz E. S., Koerich, Alessandro L.   +3 more
openaire   +2 more sources

Laser Engineering of HfN‐Based Nanoparticles for Safe NIR‐I Photothermal and X‐ray Enhancing Cancer Therapies

Advanced Functional Materials, EarlyView.
In this study, we produced HfN‐based nanoparticles via femtosecond laser ablation in acetone. The nanoparticles exhibit a red‐shifted plasmonic resonance in the NIR‐I window, colloidal stability after coating with polyethyleneglycol, and excellent biocompatibility. The photothermal and X‐ray sensitization therapeutic effects were demonstrated for tumor
Julia S. Babkova, Ivan V. Zelepukin, Lyubov V. Gorelik, Anton L. Popov, Andrei I. Pastukhov, Gleb V. Tikhonowski, Maxim S. Savinov, Danil D. Kolmanovich, Nikita A. Pivovarov, Alina Yu. Kapitannikova, Anton A. Popov, Anna S. Sogomonyan, Vsevolod A. Skribitsky, Aziz B. Mirkasymov, Andrei V. Kabashin, Sergey M. Deyev   +15 more
wiley   +1 more source