
Data sovereignty defines the legal and regulatory frameworks governing data storage, processing, and transfer within specific national or regional jurisdictions. This domain addresses the intersection of data localization requirements, privacy laws, and cross-border data flow restrictions, emphasizing compliance with règlements such as GDPR, CCPA, and emerging national data protection statutes. Technical and policy-driven approaches focus on cloud infrastructure design, cryptage standards, and governance models that ensure data remains subject to applicable legal authorities. The following compilation presents the latest scholarly articles and patented solutions, detailing advancements in data sovereignty enforcement mechanisms, compliance technologies, jurisdictional risk assessments, and frameworks for multinational data governance.
Ceci est notre dernière sélection de publications et brevets mondiaux en anglais sur la souveraineté des données, parmi de nombreux journaux scientifiques en ligne, classés et axés sur la souveraineté des données, la localisation des données, la résidence des données, les flux de données transfrontaliers, la juridiction des données, le droit de la protection des données, la réglementation sur la confidentialité des données, la souveraineté des données dans le cloud, le cadre de gouvernance des données, les politiques de données, les défis de la souveraineté des données, les risques liés à la souveraineté des données, l'application de la souveraineté des données et le RGPD.
Artificial intelligence platform for genetic counseling, hereditary cancer risk assessment, and family pedigree analysis
Patent published on the 2026-04-16 in WO under Ref WO2026078678 by NADERI SEYED HAMID [IR] (Avan Amir [ir], Naderi Seyed Hamid [ir], King-yin Lam Alfred [au], Azzi Angelo [us], Yousefli Zahra [us], Pourali Ghazaleh [us], Shahidsales Soudabeh [ir], Mahmoudian Reihaneh Alsadat [ir], Anvari Kazem [ir], Maftooh Mina [ir], Fiuji Hamid [ir], Akbari Ma)
Abstract: The present invention relates to an artificial intelligence–driven platform designed for comprehensive genetic counseling, hereditary cancer risk assessment, and automated pedigree analysis. The invention integrates genomic data, clinical features, and multigenerational family history through advanced data modeling and machine learning algorithms to enable precise, scalable, and evidence-based genetic consultation. Traditional genetic counseling processes are labor-intensive, requiring manual [...]
Our summary: The platform automates genetic counseling and hereditary cancer risk assessment using AI. It integrates genomic data and family history for precise risk stratification. The system includes modules for data acquisition, processing, pedigree visualization, and actionable recommendations.
artificial intelligence, genetic counseling, hereditary cancer, machine learning
Patent
Federated and distributed architecture for data classification to meet data sovereignty and local data regulations
Patent published on the 2026-03-26 in WO under Ref WO2026064771 by JANGIR DEEPAK KUMAR [US] (Khan Orooj [us], Babar Shafi [us], Le Cuong [us], Mehta Piyush [us], Kr Veeravignesh [us], Jangir Deepak [us])
Abstract: In some embodiments, a method comprises receiving, at a first data store having a first location, a request for data analysis. The request can be sent from a central server at a second location. In some embodiments, the method can comprise extracting text from content and/or metadata of fdes stored at the first data store. The method can comprise analyzing the extracted text according to at least one parameter in the request, thereby producing an analysis. The method can comprise reading a polic[...]
Our summary: The method facilitates data analysis while adhering to local data regulations. It involves extracting and analyzing text from data stored in a first location. Compliance with local policies is ensured by filtering out noncompliant content before sending the analysis to a central server.
Federated architecture, data classification, data sovereignty, distributed system
Patent
A Comprehensive Survey of Cybersecurity Threats and Data Privacy Issues in Healthcare Systems
Published on 2026-02-02 by Ramsha Qureshi, Insoo Koo @MDPI
Abstract: The rapid digital transformation of healthcare has improved clinical efficiency, patient engagement, and data accessibility, but it has also introduced significant cyber security and data privacy challenges. Healthcare IT systems increasingly rely on interconnected networks, electronic health records (EHRs), tele-medicine platforms, cloud infrastructures, and Internet of Medical Things (IoMT) devices, which collectively expand the attack surface for cyber threats. This scoping review maps and sy[...]
Our summary: This survey explores cybersecurity threats and data privacy issues in healthcare systems. It highlights the challenges posed by interconnected networks and various digital platforms. The findings emphasize the need for multi-layered defense strategies and ongoing research to enhance patient data protection.
Cybersecurity, Data Privacy, Healthcare IT, Threat Detection
Publication
Challenges and Strategic Directions
Published on 2026-01-14 by Oumaima Manchadi, Fatima-Ezzahraa Ben-Bouazza, Aymane Edder, Idriss Tafala, Bassma Jioudi @MDPI
Abstract: Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing. Despite its proven effectiveness in several industrial sectors, PdM adoption within the pharmaceutical industry remains comparatively limited due to sector-specific technical, regulatory, and organizational constraints. This paper presents a structured technical analysis of recent academic and industrial works addressing PdM [...]
Our summary: Predictive maintenance enhances reliability and efficiency in pharmaceutical manufacturing. Adoption is hindered by technical, regulatory, and organizational challenges. Hybrid approaches combining physics-based models and data-driven methods can facilitate broader implementation.
Predictive maintenance, pharmaceutical manufacturing, artificial intelligence, data governance
Publication
regulatory challenges, technical solutions, and practical pathways
Published on 2025-02-19 by @OXFORD
Abstract: AbstractThis paper thoroughly explores the complex interplay between blockchain technology and the General Data Protection Regulation (GDPR) of the European Union, alongside the substantial challenges and potential opportunities stemming from their interaction. While the challenges of decentralization and immutability in blockchain are well-documented, this paper advances the discussion by incorporating legal developments, such as evolving interpretations of joint controllership and new advisory[...]
Our summary: This paper examines the regulatory challenges and technical solutions in aligning blockchain technology with GDPR principles, proposing practical pathways for compliance through innovative solutions such as chameleon hashes and zero-knowledge proofs.
blockchain technology, General Data Protection Regulation (GDPR), compliance challenges, innovative solutions
Publication