Results 41 to 50 of about 119 (118)

Autofluorescence Imaging and Virtual Histological Staining of Human Prostate Sections for Cancer Diagnosis

Advanced Intelligent Systems, EarlyView.
Autofluorescence imaging with virtual histological staining streamlines postoperative histopathology. Using a deep ultraviolet light‐emitting diode (LED)‐based imaging system and a weakly supervised deep learning model, virtual hematoxylin and eosin (H&E)‐stained images are generated from the autofluorescence of prostate tissue. Pathologist evaluations
Mingxuan Si, Weixing Dai, Ivy H. M. Wong, Yan Zhang, Tony K. F. Ma, Ping Wing Ng, Kwok Hung Li, Sylvia M. S. Wong, John H. K. Ngan, Terence T. W. Wong   +9 more
wiley   +1 more source

Lowering the Entrance Hurdle for Lab Automation: An Artificial Intelligence‐Supported, Interactive Robotic Arm for Automated, Repeated Testing Procedures

Advanced Intelligent Systems, EarlyView.
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad, Philipp Auth, Tom Masselter, Thomas Speck   +3 more
wiley   +1 more source

Classical and Late‐Onset SOS/VOD After Allogeneic HSCT: A Japanese Transplant Registry Analysis

American Journal of Hematology, EarlyView.
ABSTRACT Sinusoidal obstruction syndrome/veno‐occlusive disease (SOS/VOD) is a lethal complication of allogeneic hematopoietic stem cell transplantation (allo‐HSCT). According to the 2016 European Society for Blood and Marrow Transplantation criteria, SOS/VOD is classified into classical SOS/VOD and late‐onset SOS/VOD, but their similarities and ...
Kyoko Masuda, Keisuke Kataoka, Masatoshi Sakurai, Yuho Najima, Naonori Harada, Shoko Ukita, Naoyuki Uchida, Noriko Doki, Takahiro Fukuda, Masatsugu Tanaka, Hiroyuki Ohigashi, Jun Ishikawa, Satoshi Yoshihara, Masashi Sawa, Shuichi Ota, Yoshinobu Kanda, Tetsuya Nishida, Makoto Onizuka, Yoshiko Atsuta, Hideki Nakasone, Kimikazu Yakushijin   +20 more
wiley   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

Annals of Neurology, EarlyView.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley   +1 more source

Roadmap to Nanomedical Applications: Nanotoxicology and In Vitro Guidelines for Lanthanide‐Doped Luminescence Nanothermometers

Advanced NanoBiomed Research, EarlyView.
Lanthanide‐based luminescence nanothermometry holds multifaceted potential for nanomedical applications, yet despite significant research advances, clinical translation of the engineered nanomaterials is still controversial and widely disputed. This is related to crucial nanotoxicological aspects that must be addressed at the preclinical level ...
Simona Premcheska, Andre G. Skirtach, Anna M. Kaczmarek   +2 more
wiley   +1 more source

On‐Paper Enzyme‐Linked and Metal‐Linked Immunosorbent Assays for Low‐Cost Decentralized Testing of Carcinoembryonic Antigen

Analysis &Sensing, EarlyView.
On‐paper enzyme‐linked and metal‐linked immunosorbent assays (p‐ELISA and p‐MeLISA, respectively) were developed for the assay of carcinoembryonic antigen (CEA) in serum. These approaches are based on bio‐conjugated paper disks as analytical platform.
Electra Mermiga, Varvara Pagkali, Dionysios Soulis, Christos Kokkinos, Anastasios Economou   +4 more
wiley   +1 more source

Segmentation of cortical bone, trabecular bone, and medullary pores from micro‐CT images using 2D and 3D deep learning models

The Anatomical Record, EarlyView.
Abstract Computed tomography (CT) enables rapid imaging of large‐scale studies of bone, but those datasets typically require manual segmentation, which is time‐consuming and prone to error. Convolutional neural networks (CNNs) offer an automated solution, achieving superior performance on image data.
Andrew H. Lee, Julian M. Moore, Brandon Vera Covarrubias, Leigha M. Lynch   +3 more
wiley   +1 more source

Variation in parrot jaw musculature

The Anatomical Record, EarlyView.
Interspecific morphological differences in some superficial jaw muscles of parrots. Abstract Psittaciformes, the order encompassing parrots and their relatives, are highly diverse and generally known for having a strong beaks used for multiple behaviors. The muscles related to the masticatory apparatus should reflect this functional complexity; however,
Ana Carolina L. Faillace, Arin Berger, Marcelo Ismar S. Santana, Adam Hartstone‐Rose   +3 more
wiley   +1 more source

Major Causes of Rabies Outbreak in Pastoral Areas of the Somali Region and Importance of the One Health Approach

Animal Research and One Health, EarlyView.
Rabies Transmission and Control in the Somali Region. Introduction: Rabies is a fatal zoonotic disease caused by the Lyssavirus, posing a significant threat to both wildlife and public health in the Somali Region of Ethiopia. Key Points: 1. Primary Hosts: Wild carnivores such as foxes, jackals, raccoons, skunks, bats, and honey badgers are the main ...
Hassan Abdi Hussein
wiley   +1 more source

The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review

Journal of the Association for Information Science and Technology, EarlyView.
Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra, Nina Evans, Jing Gao, Jia Tina Du, Connie Zheng   +4 more
wiley   +1 more source