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Privacy-aware estimation of relatedness in admixed populations.
Publication Type: Academic Journal
Source(s): Briefings in bioinformatics [Brief Bioinform] 2022 Nov 19; Vol. 23 (6).
Abstract: Background: Estimation of genetic relatedness, or kinship, is used occasionally for recreational purposes and in forensic applications. While numerous methods were developed to estimate kinship, they suffer from high computational requirements and ofte...
When is the processing of data from medical implants lawful? The legal grounds for processing health-related personal data from ICT implantable medical devices for treatment purposes under EU data protection law.
Publication Type: Academic Journal
Source(s): Medical law review [Med Law Rev] 2023 Aug 25; Vol. 31 (3), pp. 317-339.
Abstract: Medicine is one of the biggest use cases for emerging information technologies. Data processing brings huge advantages but forces lawmakers and practitioners to balance between privacy, autonomy, accessibility, and functionality. ICT-connected Implanta...
Collaborative privacy-preserving analysis of oncological data using multiparty homomorphic encryption.
Publication Type: Academic Journal
Source(s): Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2023 Aug 15; Vol. 120 (33), pp. e2304415120. Date of Electronic Publication: 2023 Aug 07.
Abstract: Real-world healthcare data sharing is instrumental in constructing broader-based and larger clinical datasets that may improve clinical decision-making research and outcomes. Stakeholders are frequently reluctant to share their data without guaranteed ...
A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems.
Publication Type: Academic Journal
Source(s): International journal of environmental research and public health [Int J Environ Res Public Health] 2023 Aug 07; Vol. 20 (15). Date of Electronic Publication: 2023 Aug 07.
Abstract: Federated learning (FL) provides a distributed machine learning system that enables participants to train using local data to create a shared model by eliminating the requirement of data sharing. In healthcare systems, FL allows Medical Internet of Thi...
FedMCC: Federated multi-center clustering algorithm to improve privacy healthcare.
Publication Type: Academic Journal
Source(s): Methods (San Diego, Calif.) [Methods] 2023 Oct; Vol. 218, pp. 94-100. Date of Electronic Publication: 2023 Jul 26.
Abstract: In recent years, healthcare data from various sources such as clinical institutions, patients, and pharmaceutical industries have become increasingly abundant. However, due to the complex healthcare system and data privacy concerns, aggregating and uti...
Menstrual Cycle Tracking Apps: An Applied Combined Medical and Data Privacy Scoring.
Publication Type: Academic Journal
Source(s): Studies in health technology and informatics [Stud Health Technol Inform] 2023 Sep 12; Vol. 307, pp. 208-214.
Abstract: Today, many menstruating individuals track their cycles with mobile apps. These cycle apps use a lot of highly sensitive personal data. The goal of this study is to evaluate current cycle apps based on data privacy and medical criteria. First, a market...
COLLAGENE enables privacy-aware federated and collaborative genomic data analysis.
Publication Type: Academic Journal
Source(s): Genome biology [Genome Biol] 2023 Sep 11; Vol. 24 (1), pp. 204. Date of Electronic Publication: 2023 Sep 11.
Abstract: Growing regulatory requirements set barriers around genetic data sharing and collaborations. Moreover, existing privacy-aware paradigms are challenging to deploy in collaborative settings. We present COLLAGENE, a tool base for building secure collabora...
Combining meta-analysis with multiple imputation for one-step, privacy-protecting estimation of causal treatment effects in multi-site studies.
Publication Type: Academic Journal
Source(s): Research synthesis methods [Res Synth Methods] 2023 Sep; Vol. 14 (5), pp. 742-763. Date of Electronic Publication: 2023 Aug 01.
Abstract: Missing data complicates statistical analyses in multi-site studies, especially when it is not feasible to centrally pool individual-level data across sites. We combined meta-analysis with within-site multiple imputation for one-step estimation of the ...
CEDAR: communication efficient distributed analysis for regressions.
Publication Type: Academic Journal
Source(s): Biometrics [Biometrics] 2023 Sep; Vol. 79 (3), pp. 2357-2369. Date of Electronic Publication: 2022 Nov 07.
Abstract: Electronic health records (EHRs) offer great promises for advancing precision medicine and, at the same time, present significant analytical challenges. Particularly, it is often the case that patient-level data in EHRs cannot be shared across institut...
Recording our genes: Stakeholder views on genetic test results in networked electronic medical records.
Publication Type: Academic Journal
Source(s): Health information management : journal of the Health Information Management Association of Australia [Health Inf Manag] 2023 Sep; Vol. 52 (3), pp. 194-203. Date of Electronic Publication: 2022 May 25.
Abstract: Background: In Australia, national policy prioritises the integration of clinical genetic data with networked electronic medical records (EMRs) for enhanced coordination of care and clinical decision-making. Objective: To examine the needs, privacy exp...