Results 51 to 60 of about 56,445 (299)

Limiting Privacy Breaches in Differential Privacy

Advances in Intelligent Systems Research, 2014
In recently years, privacy-preserving data mining has become more import and attractedmore attention from data mining community. Among the existing privacy preserving models, -differential privacy provides the strongest privacy guarantees and has no assumption about the adversary's background information and compute ability.
Liu Shaopeng, Yin Jian, Ouyang Jia
openaire   +2 more sources

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

Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model [PDF]

, 2023
Sudipta Paul, Julián Salas, Vicenç Torra   +2 more
openalex   +1 more source

Randomized Privacy Budget Differential Privacy

, 2022
arXiv admin note: text overlap with arXiv:2009 ...
openaire   +2 more sources

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

MPDP -medoids: Multiple partition differential privacy preserving -medoids clustering for data publishing in the Internet of Medical Things

International Journal of Distributed Sensor Networks, 2021
The tremendous growth of Internet of Medical Things has led to a surge in medical user data, and medical data publishing can provide users with numerous services. However, neglectfully publishing the data may lead to severe leakage of user’s privacy.
Zekun Zhang, Tongtong Wu, Xiaoting Sun, Jiguo Yu   +3 more
doaj   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Child Health Dataset Publishing and Mining Based on Differential Privacy Preservation

Mathematics
With the emergence and development of application requirements such as data analysis and publishing, it is particularly important to use differential privacy protection technology to provide more reliable, secure, and compliant datasets for research in ...
Wenyu Li, Siqi Wang, Hongwei Wang, Yunlong Lu   +3 more
doaj   +1 more source

Smoothed Differential Privacy

, 2021
Differential privacy (DP) is a widely-accepted and widely-applied notion of privacy based on worst-case analysis. Often, DP classifies most mechanisms without external noise as non-private [Dwork et al., 2014], and external noises, such as Gaussian noise or Laplacian noise [Dwork et al., 2006], are introduced to improve privacy.
Liu, Ao, Wang, Yu-Xiang, Xia, Lirong
openaire   +2 more sources

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

Molecular Oncology, EarlyView.
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute, Júlia Huguet‐Pradell, Jordi Abril‐Fornaguera, Albert Gris‐Oliver, Alex Rialdi, Elisa Fernández‐Martínez, Carla Montironi, Vanessa Del Pozo, Peter Houghton, Laura Zanatto, Agavni Mesropian, Ieva Keraite, Swan Thung, Carolina Armengol, Pau Sancho‐Bru, Ernesto Guccione, Roser Pinyol, Josep M. Llovet   +17 more
wiley   +1 more source