Results 51 to 60 of about 3,073,944 (343)

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Data Science and Engineering
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share homogeneous data distribution and learning ...
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu   +4 more
doaj   +1 more source

EFEKTIVITAS KERJASAMA UNITED KINGDOM DAN INDONESIA DALAM MENINGKATKAN DIGITAL SECURITY DI INDONESIA MELALUI UK-INDONESIA TECH HUB [PDF]

, 2023
The digital ecosystem in Indonesia has been growing in recent years. The Covid-19 pandemic was the point where the number of online application users rose rapidly to 442%.
Feryzal, Mochammad
core  

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Data security and privacy in the cloud [PDF]

Mobile Multimedia/Image Processing, Security, and Applications 2019, 2019
Relying on the cloud for storing data and performing computations has become a popular solution in today’s society, which demands large data collections and/or analysis over them to be readily available, for example, to make knowledge-based decisions.
S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati   +3 more
openaire   +1 more source

A proposed case for the cloud software engineering in security [PDF]

, 2014
This paper presents Cloud Software Engineering in Security (CSES) proposal that combines the benefits from each of good software engineering process and security.
Chang, V, Ramachandran, M
core  

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

πFL: Private, atomic, incentive mechanism for federated learning based on blockchain

Blockchain: Research and Applications
Federated learning (FL) is predicated on the provision of high-quality data by multiple clients, which is then used to train global models. A plethora of incentive mechanism studies have been conducted with the objective of promoting the provision of ...
Kejia Chen, Jiawen Zhang, Xuanming Liu, Zunlei Feng, Xiaohu Yang   +4 more
doaj   +1 more source

Blockchain Secured Dynamic Machine Learning Pipeline for Manufacturing

Applied Sciences, 2023
ML-based applications already play an important role in factories in areas such as visual quality inspection, process optimization, and maintenance prediction and will become even more important in the future.
Fatemeh Stodt, Jan Stodt, Christoph Reich   +2 more
doaj   +1 more source

Unconditional security at a low cost [PDF]

, 2006
By simulating four quantum key distribution (QKD) experiments and analyzing one decoy-state QKD experiment, we compare two data post-processing schemes based on security against individual attack by L\"{u}tkenhaus, and unconditional security analysis by ...
C. H. Bennett, C. H. Bennett, D. Gottesman, D. Mayers, D. Mayers, G. Brassard, M. Bourennane, N. Lütkenhaus, S. Félix, Xiongfeng Ma   +9 more
core   +3 more sources