Based on model randomization and adaptive defense for federated learning schemes by Gaofeng Yue, Xiaowei Han

“…Abstract Federated Learning (FL) is a privacy-enhancing technique that enables multiple participants to collaboratively train machine learning models without sharing their local data. …”
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Testing scenarios for using telepresence robots in healthcare settings by Janika Leoste, Kadri Strömberg-Järvis, Tarmo Robal, Kristel Marmor, Katrin Kangur, Anne-Mari Rebane

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Medical data sharing and synthetic clinical data generation – maximizing biomedical resource utilization and minimizing participant re-identification risks by Simeone Marino, Ruth Cassidy, Joseph Nanni, Yuxuan Wang, Yipeng Liu, Mingyi Tang, Yuan Yuan, Toby Chen, Anik Sinha, Balaji Pandian, Ivo D. Dinov, Michael L. Burns

“…This article introduces an end-to-end, titratable pipeline that generates privacy-preserving “digital twin” datasets from complex EHR and wearable-device records (Apple Watch data from 3029 participants) using DataSifter and Synthetic Data Vault (SDV) methods. …”
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Cybersecurity and Liability in a Big Data World by Maria Lillà Montagnani, Mirta Antonella Cavallo

“…We conclude by showing that, despite this articulate framework, big data and cloud service providers still leverage on their strong market power to use “contractual shields” and escape liability. …”
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Data Protection in Pre-Tertiary Schools In Ghana by Ephrem Kwaa-Aidoo, Elizabeth Serwaa Baah

“…The study also identifies a lack of coordination, formal guidance, inadequate consent procedures, and fragmented implementation strategies in data protection practices. Furthermore, the use of varied data protection mechanisms by different schools suggests a lack of standardised security protocols, which is likely to result in security gaps. …”
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Heterogeneous bioinformatic data encryption on portable devices by Hao Chen, Xiayun Hong, Yao Cheng, Xiaotong Wang, Liyan Chen, Xuan Cheng, Juncong Lin

“…Abstract With the popularity of mobile health monitoring and genome sequencing techniques, the scale of biomedical and genomic data grow rapidly, with their privacy receiving more and more concerns. …”
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AI-based treatment of psychological conditions: the potential use, benefits and drawbacks by Michael Baber, Barbara Baker

“…This suggests that translating small-scale, short-term trials into effective large-scale, longer-term real-world applications may be a particular challenge. While the use of AI in mental healthcare appears to have potential, its use also raises important ethical and privacy concerns, potential risk of bias, and the risk of unintended consequences such as over-diagnosis or unnecessary treatment of normal emotional experiences. …”
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Blockchain Technology for Secure Patient Data Sharing by Robert-Stefan CIZMAŞ

“… This paper presents a decentralized healthcare data management system that utilizes blockchain technology to address critical challenges in data security, patient privacy, and interoperability of electronic medical records (EMR). …”
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The Use of AI in Elementary School Learning: A Systematic Literature Review by Natalina Purba, Desti Pujiati, Partohap Saut Raja Sihombing, Hendra Simanjuntak, Desi Sijabat

“…However, the study also highlights challenges such as inadequate infrastructure, teacher competence, and ethical concerns regarding data privacy and algorithmic bias. Addressing these challenges requires investment in infrastructure, ongoing teacher training, and clear ethical guidelines to ensure equitable access to AI-driven learning. …”
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Perceived risk and intention to use digital financial services of Vietnamese youth by Nguyễn Thị Thương, Khúc Thế Anh, Nguyễn Mạnh Cường, Phan Anh Tuấn, Bùi Thị Thanh Huyền, Võ Mỹ Linh

“…SPSS26 and AMOS24 software were used for data processing. The results show that “Security risk” does not affect the “Perceived Risk” of the youth. …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…At the same time, the application focuses on the risks and challenges posed by technical limitations, intellectual property rights, user privacy, harmful information, data sources, academic integrity and other aspects. …”
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The Venus score for the assessment of the quality and trustworthiness of biomedical datasets by Davide Chicco, Alessandro Fabris, Giuseppe Jurman

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OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

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Federated knee injury diagnosis using few shot learning by Chirag Goel, Anita X, Jani Anbarasi L

“…While deep learning approaches have shown promise in identifying knee injuries from MRI scans, they often require large amounts of labeled data, which can be both scarce and privacy-sensitive.MethodsThis paper analyses a hybrid methodology that integrates few-shot learning with federated learning for the diagnosis of knee injuries using MRI scans. …”
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A systematic review of digital twins’ potential for citizen participation and influence in land use agenda-setting by David Adade, Walter Timo de Vries

“…The findings also reveal two ways of citizen participation: (1) providing data for developing digital twins and (2) utilising digital twins to analyse and identify key land use challenges and to push forward land use claims and proposals within a policy system.…”
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Ethical Challenges of Using the Internet of Behavior in the Medical and Healthcare Practice by Zahra Sadeqi-Arani, Esmaeil Mazroui Nasrabadi

“…To address these concerns, healthcare organizations must establish ethical protocols, including stringent security measures, informed consent procedures, and robust data protection strategies. Ensuring the secure and responsible use of patient data is critical to maintaining trust in IoB systems. …”
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User Needs of Online Tutoring Applications Using House of Quality by Qurrata Aini, Eko Ruddy Cahyadi, Faqih Udin

“…Methodology: The study employs the House of Quality method and was conducted in the Jabodetabek area from 2021 to 2022. Data collection methods included voluntary and purposive sampling, using questionnaires distributed via Google Forms, as well as interviews and focus group discussions. …”
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GraphXplore: Visual exploration and accessible preprocessing of medical data by Louis Bellmann, Karl Gottfried, Philipp Breitfeld, Frank Ückert

“…It enables explainable, easy-to-use exploratory data analysis paired with dataset preparation and metadata annotation accessible for physicians. …”
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Mannaging medical records with blockchain by Paulo Caetano da Silva, Reginalda Santos Silva, Daniel José Diaz

“…Therefore, the goal of this work is to evaluate, through a systematic literature review (SLR), the use of blockchain to guarantee data privacy and security in e-Health systems. …”
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A secure and efficient public auditing system of cloud storage based on BLS signature and automatic blocker protocol by Baidaa Abdulrahman Jalil, Taha Mohammed Hasan, Ghassan Sabeeh Mahmood, Hazim Noman Abed

“…Hence, public cloud storage auditing is critical, so users can use a Third-party auditor (TPA) to verify data integrity. …”
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