{"title":"Why We Don't Use Guest Editors: A Publisher's Perspective.","authors":"Tory Cenaj","doi":"10.30953/bhty.v9.504","DOIUrl":"10.30953/bhty.v9.504","url":null,"abstract":"","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13186142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148044915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Subhash G Rathod, Pradhyuman Omkar Patel, Vaibhav Suresh Bhirud, Ved Prasad Dodwadkar, Sanket Dhananjay Kokadwar
{"title":"Design and Development of a Blockchain-Based System to Protect Medical Records.","authors":"Subhash G Rathod, Pradhyuman Omkar Patel, Vaibhav Suresh Bhirud, Ved Prasad Dodwadkar, Sanket Dhananjay Kokadwar","doi":"10.30953/bhty.v9.381","DOIUrl":"https://doi.org/10.30953/bhty.v9.381","url":null,"abstract":"<p><p>The \"BlockCare\" addresses the growing challenge of managing and accessing personal health records scattered across various healthcare providers. Patients often struggle with fragmented and inaccessible health information, leading to delays and potential errors in their care.<sup>1,2</sup> We have expanded the system's technical architecture to ensure interoperability and compliance with global healthcare regulations. BlockCare offers a secure, centralized platform where users can store, manage, and easily access their complete health data, including medical history, lab results, and treatment records.<sup>3,4</sup> Detailed security mechanisms such as cryptographic hashing, multi-signature authentication, and a decentralized access control model have been incorporated.<sup>5</sup> Utilizing advanced encryption and robust authentication methods, the app ensures the highest level of data privacy and security.<sup>6,7</sup> It integrates seamlessly with different healthcare systems, providing real-time updates and allowing users to share their information effortlessly with healthcare professionals.<sup>8</sup> The intuitive interface simplifies the process of retrieving and managing health records, empowering patients to make informed decisions about their care and improving overall care coordination.<sup>9,10</sup> The manuscript now discusses compliance with Health Insurance Portability and Accountability and General Data Protection Regulation, ensuring legal and ethical handling of sensitive health data.<sup>11</sup> Countries like Greece, where comprehensive regulatory frameworks for electronic health record (her) adoption are still emerging, could greatly benefit from decentralized health record solutions like BlockCare.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13187893/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148044857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sudip Phuyal, Manila Bhandari, Rabindra Bista, João Carlos Ferreira
{"title":"A Blockchain-Based Architecture for Dynamic and Auditable Patient Consent in Secondary Use of Health Data.","authors":"Sudip Phuyal, Manila Bhandari, Rabindra Bista, João Carlos Ferreira","doi":"10.30953/bhty.v9.491","DOIUrl":"10.30953/bhty.v9.491","url":null,"abstract":"<p><strong>Background: </strong>The secondary use of patient health data is critical for advancing clinical research, public health, and digital health innovation. However, traditional consent mechanisms are often static, complex, and insufficiently transparent, limiting patient control and trust. In response to regulatory requirements introduced by the General Data Protection Regulation (GDPR) and the European Health Data Space (EHDS), this article paper aims to design a secure, transparent, and revocable blockchain-based architecture for managing patient consent for the secondary use of health data, aligned with European legal frameworks and interoperability standards.</p><p><strong>Methods: </strong>A multilayered consent management architecture was designed by integrating blockchain smart contracts, decentralized identifiers, verifiable credentials, and Health Level Seven-Fast Healthcare Interoperability Resources. The system incorporates a patient-controlled digital wallet, off-chain health data storage, and on-chain enforcement of consent policies through smart contracts. Regulatory and technical requirements were systematically derived from GDPR and European Health EHDS provisions. The study follows a design science research methodology and includes threat modeling and a theoretical performance and scalability analysis. The design is guided by four core objectives: dynamic consent management, auditable governance, interoperability with healthcare standards, and compliance-by-design with European regulatory frameworks.</p><p><strong>Results: </strong>The proposed architecture enables secure creation, delegation, and revocation of patient consent through immutable blockchain-based logging and Fast Healthcare Interoperability Resources-compliant data exchange. Consent records are tamper-evident, while sensitive health data remain off-chain, ensuring data minimization and privacy protection. Consent attributes such as purpose limitation, duration, and data scope are explicitly modeled to comply with GDPR and EHDS requirements. Theoretical evaluation indicates that the architecture can scale to large healthcare data ecosystems when deployed on Ethereum-compatible blockchains combined with external storage solutions.</p><p><strong>Conclusions: </strong>This study presents a modular, standards-based consent management framework that enhances patient autonomy, supports regulatory compliance, and strengthens governance for the secondary use of health data. By combining blockchain, digital identity, and healthcare interoperability standards, the architecture addresses key legal and technical challenges of dynamic consent. Future work will focus on developing a user-centered prototype and conducting empirical validation in real-world secondary-use health data ecosystems.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13378124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148581216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovating Pharma: Bridging Traditional Acquisition and Emerging Technologies.","authors":"Simone Fantaccini, Laura Grassi, Scott Howell","doi":"10.30953/bhty.v9.435","DOIUrl":"10.30953/bhty.v9.435","url":null,"abstract":"<p><strong>Objectives: </strong>The authors explore how large pharmaceutical corporations may integrate emerging decentralized technologies-such as blockchain and decentralized autonomous organizations (DAOs)-within their merger, acquisition and partnership frameworks, and how these strategies intersect with broader innovation and external sourcing models. In this context, blockchain is considered primarily as an enabling infrastructure for decentralized governance and programmable coordination-supporting mechanisms such as tokenized incentives, auditable decision trails, and new forms of intellectual property (IP) and collaboration structures.</p><p><strong>Methods: </strong>This study employed a qualitative case study methodology, combining document analysis and semi-structured interviews with internal stakeholders from a leading large-cap pharmaceutical company (herein after \"Company\"). Participants included executives and professionals from corporate development, scientific research, external innovation, and digital strategy units.The analysis examined how a large-cap \"Company\" approaches mergers, acquisitions, and partnerships, and how emerging technologies may influence these frameworks. The study focused on strategy alignment, organisational attitudes towards decentralisation, integration constraints, and perceptions of innovation value along the external sourcing continuum.</p><p><strong>Results: </strong>Acquisition and innovation strategy by the \"Company\" is driven by long-term alignment between external opportunities and internal priorities. Over time, the \"Company\" increasingly turned to external sources of innovation, leveraging technologies to improve innovation scouting, target identification, and operational forecasting. While decentralisation technologies such as DAOs are viewed as promising for early-stage innovation and collaboration, their integration is hindered by legal ambiguity, internal governance rigidity, and unfamiliarity with token-based economics. The \"Company\" views mergers and acquisitions (M&As) and licensing as critical to sustaining its pipeline, and sees potential for emerging technologies to accelerate preclinical decision-making and improve visibility into academic and biotech ecosystems.</p><p><strong>Conclusions: </strong>This study contributes insights into how large-cap pharmaceutical firms might adapt their innovation models in response to technological change and external pressures. While established mechanisms such as M&A and partnerships remain dominant, digital and decentralized technologies offer complementary tools for scouting, collaboration, and portfolio expansion.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13186146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148044859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blockchain Technology to Enhance Clinical Data Management in Healthcare: A Systematic Literature Review.","authors":"Khaoula Chafik, Mohamed Hanine, Abdellah Ouaguid, Sulieman Alshuhri","doi":"10.30953/bhty.v9.471","DOIUrl":"10.30953/bhty.v9.471","url":null,"abstract":"<p><p>This systematic review examines how blockchain is applied in clinical data management (CDM) and what prevents its adoption in healthcare. A structured search in Scopus and Web of Science retrieved 554 records; after applying inclusion/exclusion criteria and quality assessment, 32 studies published between 2018 and 2024 were included. The analysis was guided by five research questions: (1) how blockchain supports clinical data workflows; (2) its role in data security and privacy; (3) key technical challenges and commonly used technologies; (4) integration with other healthcare technologies, and (5) how does blockchain technology integrate with and enhance other emerging healthcare technologies? Findings show that blockchain can support consent management, secure data sharing, traceability, and tamper-resistant audit trails using smart contracts and decentralized access control. It is also positioned as a trust layer for electronic health records, the Internet of Medical Things, artificial intelligence, and telemedicine by ensuring integrity and controlled access to sensitive clinical data. However, several barriers limit real-world deployment. Reported challenges include limited scalability and throughput, difficulty integrating with legacy electronic health record systems, heterogeneous regulatory requirements, and the complexity of encoding privacy, consent, and compliance into smart contracts. Ethereum and Hyperledger Fabric are the most frequently implemented platforms, often combined with off-chain storage and interoperability standards such as Fast Healthcare Interoperability Resources (FHIR)/Substitutable Medical Applications and Reusable Technologies on FHIR. Overall, blockchain shows strong potential to improve security, transparency, and cross-institution exchange in CDM, but its viability depends on addressing scalability, interoperability, and governance constraints. However, the evidence base remains heterogeneous, and only a minority of studies report quantitative benchmarks or real-world deployments, which limits cross-study comparability and generalizability.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13186143/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148044909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rohit Kumar Jarariya, Sri Khetwat Saritha, Sweta Jain
{"title":"Efficient Health Information Exchange Automation System Based on Blockchain and IPFS.","authors":"Rohit Kumar Jarariya, Sri Khetwat Saritha, Sweta Jain","doi":"10.30953/bhty.v8.423","DOIUrl":"10.30953/bhty.v8.423","url":null,"abstract":"<p><p>In today's digital era, secure and efficient management of health information is a critical challenge. Centralized health data systems often expose sensitive information to security risks, enabling unauthorized access, modifications, and data sharing without patients' consent. These challenges require a patient-centric, standardized approach to managing health data. This article presents a decentralized health information exchange framework that leverages blockchain technology to address these issues. The framework combines the Interplanetary File System for scalable data storage with Ethereum (ETH) smart contracts to enforce secure and transparent access control. By integrating these technologies, the proposed solution presented here enhances data security, transparency, and interoperability while reducing costs and reliance on intermediaries. Experiments conducted on the ETH blockchain demonstrate the framework's efficiency, with smart contracts evaluated for transaction costs and accuracy. In addition to examining scalability and security, the authors discuss the framework's limitations and its potential for broader application. To foster further research and collaboration, the source code for the smart contracts is openly available on GitHub.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ethical, Legal, and Social Issues in Metaverse-Enabled Healthcare.","authors":"Kristin M Kostick-Quenet, Vasiliki Rahimzadeh","doi":"10.30953/bhty.v8.456","DOIUrl":"10.30953/bhty.v8.456","url":null,"abstract":"<p><p>Metaverse is heralded by some as the next iteration of the internet. It offers three-dimensional, immersive virtual spaces, where users, represented as avatars, can synchronously work, play, interact, and transact. Initially developed within the realm of massive multiplayer online role-playing games, the metaverse now extends into sectors such as music, entertainment, retail, real estate, and, more recently, healthcare. Users engage in the metaverse using augmented reality or virtual reality (AR/VR) headsets that interoperate with other sensory devices to integrate biofeedback and multimodal data streams.<sup>1</sup> In this article, the authors offer a conceptual synthesis and anticipatory policy analysis grounded in a narrative review of current trends reported in public-facing news reports as well as interdisciplinary sources from bioethics, law, digital-health policy, and science-and-technology studies. There are seven key ethical, legal, and social issue areas for consideration in the delivery of metaverse-enabled healthcare. We additionally issue a call to action to explore the metaverse through a bioethics lens. The authors begin by providing a primer on the metaverse, including the various forces shaping its development. Next, the authors describe what distinguishes the metaverse from other digital-health technologies and illustrate emerging use cases for the metaverse. We then outline what we consider the most pressing ethical issues raised as the metaverse matures in parallel with (or in advance of) policy guidance and regulation. Finally, we conclude with a research agenda that treats the metaverse as a serious topic of normative and empirical inquiry and argue for sustained engagement from diverse user communities to support its ethical design and development.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12994886/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147516852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Dershem, John Riley, Mohan Venkataraman, Jim Nasr, Ajaz S Hussain
{"title":"2026 Healthcare Predictions: AI, Blockchain, and the Rise of Decentralized Innovation.","authors":"Michael Dershem, John Riley, Mohan Venkataraman, Jim Nasr, Ajaz S Hussain","doi":"10.30953/bhty.v8.475","DOIUrl":"https://doi.org/10.30953/bhty.v8.475","url":null,"abstract":"<p><p>As we head into 2026, artificial intelligence (AI), blockchain, and other emerging technologies are moving from experiments into core healthcare systems. That shift promises tangible benefits: fewer people left untreated, faster discovery of lifesaving treatments, and simpler, lower‑cost ways to move money and data across borders. It also brings real risks-speculative hype, erosion of institutional trust, and rushed rollouts that fail patients-so adoption must be disciplined and values-driven. This annual predictions article, informed by ConV2X Symposium speakers, highlights practical advances likely to matter at the bedside and beyond: programmable stablecoins that lower cross‑border payment friction; AI that surfaces pediatric risks earlier; verifiable digital credentials that ease clinician mobility; post‑quantum cryptography to safeguard sensitive records; domain‑specific AI designed for regulatory compliance; consumer apps that put usable health tools in people's pockets; and the rise of Decentralized Science (DeSci) to restore transparency and funding momentum to stalled research. Realizing these possibilities will require deliberate choices, commitment, and coordinated stewardship across innovators, clinicians, and policymakers. With that effort, these tools can help build a more verifiable, equitable, and resilient global healthcare system-technology shaped to serve people, not the other way around; aspirations for healing, dignity, and universal well-being. While uncertainties persist, the path forward is clear: responsible innovation today will shape a healthier, more inclusive tomorrow.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Construction of a Big Data-Driven Predictive Analysis Platform for Hospital Talent Attrition.","authors":"Xiao Lei Zheng, Xiaoli Dai, Tian Li Liu","doi":"10.30953/bhty.v8.433","DOIUrl":"10.30953/bhty.v8.433","url":null,"abstract":"<p><strong>Objective: </strong>This study develops a big data-driven predictive platform for hospital staff attrition, integrating machine learning (ML) with psychological constructs. Negotiable Fate (NF), a culturally rooted belief system, is examined as a predictor of turnover via psychological capital (PC) and organizational citizenship.</p><p><strong>Methods: </strong>Structured HR data from 400+ employees at a tertiary public hospital, covering 20+ features, were analyzed. Due to attrition imbalance (~5%), SMOTE was applied to balance the dataset. Four ML classifiers-logistic regression, decision tree, random forest, and XGBoost-were evaluated using accuracy, precision, recall, and F1-score. Statistical analyses assessed mediation, moderation, and construct validity using survey variables: NF, PC, perceived organizational support, job performance (JP), and organizational citizenship behavior.</p><p><strong>Results: </strong>Random Forest and XGBoost achieved superior recall for attrition cases. Feature importance consistently highlighted working hours, income, job type, and satisfaction as key predictors. NF significantly predicted JP (β = 0.30, <i>p</i> < 0.001) and organizational citizenship (β = 0.36, <i>p</i> < 0.001) through PC (β = 0.33, <i>p</i> < 0.001). Perceived organizational support moderated the NF → PC pathway (β = 0.16, <i>p</i> < 0.001), confirming mediated moderation.</p><p><strong>Conclusion: </strong>Integrating ML with psychological theory enhances both the prediction and understanding of hospital staff attrition. The platform enables culturally sensitive, data-driven HR interventions, helping administrators identify high-risk employees and implement targeted strategies to reduce attrition, stabilize the workforce, and improve patient care.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Why Blockchain Benefits Don't Guarantee Adoption: An Integrated TAM-TOE Analysis of Technology Acceptance and Organizational Readiness.","authors":"Fatma M AbdelSalam","doi":"10.30953/bhty.v8.428","DOIUrl":"10.30953/bhty.v8.428","url":null,"abstract":"<p><strong>Background: </strong>Despite blockchain technology's demonstrated potential to enhance security, transparency, and efficiency in healthcare systems, adoption rates remain significantly lower than predicted, creating a persistent gap between perceived benefits and adoption feasibility. This study addresses the critical question of what explains this adoption paradox by developing and testing a comprehensive theoretical framework that integrates the Technology Acceptance Model (TAM) with the Technology-Organization-Environment (TOE) framework.</p><p><strong>Methods: </strong>A systematic literature review is conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to synthesize existing research on blockchain adoption in health care. This study develops four key propositions examining how technology characteristics, organizational factors, external environmental pressures, perceived risks, and system quality collectively influence healthcare organizations' blockchain adoption intentions.</p><p><strong>Results: </strong>The analysis reveals that blockchain adoption in health care is influenced by a complex interplay of facilitating and inhibiting factors. Technology characteristics such as perceived usefulness (PU) and ease of use, combined with organizational innovation readiness and technology compatibility, positively influence adoption intention. External factors enhance perceived technology benefits and consequently affect adoption decisions. However, perceived risks moderate the relationship between PU and adoption intention.</p><p><strong>Conclusions: </strong>Blockchain technology represents a transformative solution for persistent healthcare challenges, but successful adoption requires a holistic approach that simultaneously addresses technology, organizational, and environmental factors. The adoption gap can be bridged through strategic planning that aligns institutional readiness with user incentives, comprehensive risk management, and supportive regulatory frameworks. Future research should focus on establishing ethical governance models to support broad blockchain adoption in health care.</p>","PeriodicalId":72422,"journal":{"name":"Blockchain in healthcare today","volume":"8 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12860430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}