Results 101 to 110 of about 745,987 (299)

Re-identification from histopathology images

Medical Image Analysis
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for training, which must be anonymized to prevent possible patient identity leaks.
Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville   +4 more
openaire   +3 more sources

TRAF2 binds to TIFA via a novel motif and contributes to its autophagic degradation

FEBS Letters, EarlyView.
TRAF family members couple receptor signalling complexes to downstream outputs, but how they interact with these complexes is not always clear. Here, we show that during ADP‐heptose signalling, TRAF2 binding to TIFA requires two short sequence motifs in the C‐terminal tail of TIFA, which are distinct from the TRAF6 binding motif.
Tom Snelling, Kodi Hunter, Celest W. S. Tay, Nicola T. Wood, Philip Cohen   +4 more
wiley   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings

Algorithms
In most re-identification approaches, embedding vectors are compared to identify the best match for a given query. However, this comparison does not take into account whether the encoded information in the embedding vectors was extracted reliably from ...
Markus Eisenbach, Andreas Gebhardt, Dustin Aganian, Horst-Michael Gross   +3 more
doaj   +1 more source

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1

FEBS Letters, EarlyView.
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson, Robert Gustafsson Westergren, Ingrid Almlöf, Ann‐Sofie Jemth, Martin Scobie, Ulrika Warpman Berglund, Thomas Helleday, Pål Stenmark   +7 more
wiley   +1 more source

Aβ42 promotes the aggregation of α‐synuclein splice isoforms via heterogeneous nucleation

FEBS Letters, EarlyView.
The aggregation of amyloid‐β (Aβ) and α‐synuclein (αSyn) is associated with Alzheimer's and Parkinson's diseases. This study reveals that Aβ aggregates serve as potent nucleation sites for the aggregation of αSyn and its splice isoforms, shedding light on the intricate interplay between these two pathogenic proteins.
Alexander Röntgen, Zenon Toprakcioglu, Michele Vendruscolo   +2 more
wiley   +1 more source

Universal Person Re-Identification

, 2019
Most state-of-the-art person re-identification (re-id) methods depend on supervised model learning with a large set of cross-view identity labelled training data. Even worse, such trained models are limited to only the same-domain deployment with significantly degraded cross-domain generalization capability, i.e. "domain specific".
Lan, Xu, Zhu, Xiatian, Gong, Shaogang
openaire   +2 more sources

Growth and differentiation in culture of leukemic leukocytes from a patient with acute myelogenous leukemia and re-identification of type-C virus [PDF]

, 1976

openalex   +1 more source