Enhancing identity and access management using Hyperledger Fabric and OAuth 2.0: A block-chain-based approach for security and scalability for healthcare industry by Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, Sandip Roy, Sonia Djebali, Debnath Bhattacharyya

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“Simpleness”: a qualitative description study exploring patient perspectives on the barriers and facilitators of using digital health tools to self-manage inflammatory bowel diseas... by Lekan Ajibulu, Kaitlyn Delaney Chappell, Cynthia H. Seow, Karen J. Goodman, Karen Wong

“…However, concerns about data entry burden, privacy, and engagement emerged as significant barriers. …”
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Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
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Health Unchained Podcast on New Decentralized Industry Coalition by Ray Dogum

“…Concepts explored during the conversation include: • Financial systems interacting with health • AI agents interacting with AI agents, exchanging value and micro payments • Building frameworks that make it easy to consume for CIOs around globe • Blockchain transaction framework • AI analytical framework • Privacy preservation data complying with HIPAA and HL7 • Coming together to solve industry problems  • Real world implementations, use cases - including reporting, health data, and DeSci, clinical innovations and research, tokenization, ethical AI, and verifiable intelligence • Stable coins for cross border payments • Full access to data, and payments around globe • Supply chain ecosystem, pharmacy, pharma, insurance/payors, clinics, doctors, and patients • Who will new intermediaries be to move data, bill, and secure the data? …”
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Real-Time Tracking of Diagnostic Discrepancies in Electronic Health Records for Improved Predictive Modeling by Elizabeth A. Trader, Varadraj P. Gurupur

“…By addressing the current lack of accessible diagnostic discrepancy data, the schema lays a foundation for more effective analysis, better patient outcomes, and improved use of machine learning in healthcare. …”
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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“…Although there are many potential advantages of using AI to enhance medical care, they must be weighed against potential risks to patient privacy and data security. …”
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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X by Omar Alsodi, Xujuan Zhou, Raj Gururajan, Anup Shrestha, Eyad Btoush

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Securing gait recognition with homomorphic encryption by Marina Banov, Domagoj Pinčić, Diego Sušanj, Kristijan Lenac

“…At the same time, they raise significant privacy concerns because compromised biometric data cannot be revoked. …”
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Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…AI-powered video analytics has had a profound impact on the right to privacy, particularly due to the mass collection of biometric data and automated profiling, sparking debate over compliance with international standards such as the General Data Protection Regulation and the Convention for the Protection of Human Rights. …”
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Facebook as a Surveillance Tool: From the Perspective of the User by Ekaterina Petrovna Netchitailova

“…With the increasing use of online social networks such as Facebook in recent years, a lot of research has been focussing on the privacy issue of the network. …”
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INVESTIGATE AND COMPARE GENDER-SPECIFIC DIFFERENCES IN COPING MECHANISMS AMONG PATIENTS DIAGNOSED WITH OBSESSIVE-COMPULSIVE DISORDER USING THE MEANING-CENTERED COPING SCALE SCORES. by AijazMohiud din Bhat, Nizamud din Dar, Abdul Majid Gania

“…Participants were recruited through consecutive sampling, and data were analyzed using descriptive and inferential statistics. …”
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Challenges in accessing health care services for women and girls with disabilities using a humanitarian physical rehabilitation program in Lebanon: a mixed method study by Linda Abou-Abbas, Diana Sabbagh, Rodolfo Rossi, Lavanya Vijayasingham, Maria Rita Lteif, Haya Rawi, Rouba Mitri, Hala Al Sultan, Aicha Benyaich, Ahmad AL-MOSA, Claudia Truppa

“…Initially, a retrospective descriptive study analyzed data from the International Committee of the Red Cross (ICRC)-supported physical rehabilitation programme (PRP) database. …”
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Society 5.0: A New Challenge to Legal Norms by Nabeel Mahdi Althabhawi, Zinatul Ashiqin Zainol, Parviz Bagheri

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Strengthening research preparedness for crises: lessons from Norwegian government agencies in using randomized trials and quasi-experimental methods to evaluate public policy inter... by Unni Gopinathan, Ingeborg Elgersma, Therese Dalsbø, Mona Bjørbæk, Atle Fretheim

“…The surveyed agencies stressed the importance of legislation providing clear guidelines on when differential treatment can be justified and when informed consent requirements can be waived, as well as faster and clearer processes for managing privacy concerns related to data access. Crucially, greater political acceptance for systematically and gradually implementing reforms, including using randomization, could strengthen evidence-informed public policy, enhancing the scaling-up of effective interventions and deprioritizing ineffective ones.…”
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Co-Designing, Developing, and Testing a Mental Health Platform for Young People Using a Participatory Design Methodology in Colombia: Mixed Methods Study by Laura Ospina-Pinillos, Débora L Shambo-Rodríguez, Mónica Natalí Sánchez-Nítola, Alexandra Morales, Laura C Gallego-Sanchez, María Isabel Riaño-Fonseca, Andrea Carolina Bello-Tocancipá, Alvaro Navarro-Mancilla, Jaime A Pavlich-Mariscal, Alexandra Pomares-Quimbaya, Carlos Gómez-Restrepo, Ian B Hickie, Jo-An Occhipinti

“…MethodsThis study used a mixed methods approach within a structured research and development cycle. …”
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A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…In this study, a comprehensive digital twin monitoring system for ship equipment was designed and implemented, including the system architecture, key technologies, and applications. Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

“…Abstract Protecting user privacy is essential in machine learning research, especially in the context of data collection. …”
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Political Factors in Global Communication Platforms: Pavel Durov’s Case by Choi Keunwon, Zotova Tatyana Andreevna

“…The French authorities applied institutional pressure by using institutional advantages to achieve control over the private data of Telegram users. …”
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Live research dialogue on the benefits, costs and utility of synthetic data for researchers by Emily Oliver, Fiona Lugg-Widger, Maureen Haaker, Cristina Magder, Emma Gordon

“… • To discuss governance frameworks essential for the routine creation, dissemination, and use of synthetic data. • Drawing on the experience of international participants, explore measures to mitigate risks to data privacy and public perception relating to synthetic data creation and use whilst maximising its utility. …”
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Conditions for anonymity in some generic public-key encryption constructions by TIAN Yuan, DENG Lu-yao, ZHANG Hao

“…In applications of public-key encryption schemes, anonymity（key-privacy） as well as security（data-privacy） is useful and widely desired.Recently Canetti-Halevi-Katz proposed a generic and elegant IBE-based construction for（tra-ditional） public-key encryption, whose performance was improved by another construction proposed by Boneh-Katz.To analyze such two constructions’ anonymity, two new and generic concepts in IBE scheme,"master-key anonymity"and"relevant master-key anonymity"were proposed and two different sufficient conditions for chosen-ciphertext anonymity were proved for Canetti-Halevi-Katz and Boneh-Katz constructions.…”
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