Results 61 to 70 of about 23,477,104 (364)

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology
Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, S. Islam, S. Khapre, Salwani Abdullah, Taher M. Ghazal, A. Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
semanticscholar   +1 more source

Global data privacy laws: A critical review of technology's impact on user rights

World Journal of Advanced Research and Reviews
In the rapidly evolving landscape of technology, the intersection with data privacy laws has become a focal point for scholars, policymakers, and practitioners alike. This paper provides a comprehensive and critical examination of the global data privacy
Benedicta Ehimuan, Ogugua Chimezie, Ob, O. Akagha, Oluwatosin Reis, Bisola Beatrice Oguejiofor   +5 more
semanticscholar   +1 more source

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein, Melissa J. Rose, Scott Moerdler, Richard Ho   +3 more
wiley   +1 more source

PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies

Nature Communications
Genome-wide association studies help uncover genetic influences on complex traits and diseases. Importantly, multi-site data collaborations enhance the statistical power of these studies but pose challenges due to the sensitivity of genomic data ...
Arjhun Swaminathan, Anika Hannemann, Ali Burak Ünal, Nico Pfeifer, Mete Akgün   +4 more
doaj   +1 more source

Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing

IEEE Access, 2022
Advancements in Industry 4.0 brought tremendous improvements in the healthcare sector, such as better quality of treatment, enhanced communication, remote monitoring, and reduced cost.
J. Andrew Onesimu, Karthikeyan J, Jennifer Eunice, Marc Pomplun, Hien Dang   +4 more
doaj   +1 more source

DATA PRIVACY AND SECURITY IN IT: A REVIEW OF TECHNIQUES AND CHALLENGES

Computer Science & IT Research Journal
In today's interconnected digital world, data privacy and security have emerged as paramount concerns for individuals, organizations, and governments alike. This review provides a comprehensive review of techniques and challenges surrounding data privacy
Oluwatoyin Ajoke Fayayola, Oluwabukunmi Latifat Olorunfemi, Philip Olaseni Shoetan   +2 more
semanticscholar   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Efficient perturbation techniques for preserving privacy of multivariate sensitive data

Array, 2023
Cloud data is increasing significantly recently because of the advancement of technology which can contain individuals’ sensitive information, such as medical diagnostics reports.
Mahbubur Rahman, Mahit Kumar Paul, A.H.M. Sarowar Sattar   +2 more
doaj   +1 more source

Differentially Private Regression for Discrete-Time Survival Analysis

, 2017
In survival analysis, regression models are used to understand the effects of explanatory variables (e.g., age, sex, weight, etc.) to the survival probability.
Hui, Siu Cheung, Nguyên, Thông T.
core   +1 more source

Cerebrospinal Fluid Liquid Biopsy Enables Targeted Therapy Without Tissue Diagnosis in Pediatric Low‐Grade Gliomas With BRAF V600E Mutation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan, Damien Faury, Alexander G. Weil, Harrison J. Westwick, Nada Jabado, Sébastien Perreault   +5 more
wiley   +1 more source