Call for Papers

Theme Issue: Healthcare Quantum Technologies, AI, Machine Learning, Quantum Cryptography, and Techno-Legal Governance

Description

BHTY Journal invites original research articles, review papers, short communications, case studies, technical notes, perspectives, and policy papers for a special issue on the emerging convergence of healthcare, quantum technologies, artificial intelligence, machine learning, cybersecurity, and techno-legal governance.

Healthcare is entering a new phase shaped by advanced computing, secure digital infrastructure, data-driven clinical systems, and intelligent medical technologies. Quantum computing, quantum simulations, quantum sensing, quantum communication, post-quantum cryptography, AI, machine learning, large multimodal models, federated learning, digital twins, and secure health data platforms are opening new directions for diagnosis, treatment, drug discovery, precision medicine, hospital operations, and public health.

This special issue aims to bring together researchers, clinicians, engineers, computer scientists, quantum technology experts, AI specialists, cybersecurity researchers, legal scholars, ethicists, policymakers, and industry practitioners.

The issue welcomes contributions that connect technical innovation with clinical relevance, patient safety, privacy, ethical governance, regulatory compliance, and real-world deployment.

Scope

We invite manuscripts addressing, but not limited to, the following themes:

  1. Quantum Technologies in Healthcare and Life Sciences

Quantum computing and simulation for the pharmacology lifecycle (drug design, drug discovery, drug safety, molecular simulation, protein modeling, translational genomics),  advanced clinical ecosystems (medical imaging, digital pathology), precision and personalized medicine (disease modeling, multi-modal biomedical data analysis).

Quantum sensing for diagnostics, physiological monitoring, brain and cardiac signal detection, biomarker discovery, biosensing, imaging, and early disease detection.

Quantum communication for secure healthcare networks, hospital data exchanges, remote care systems, and sensitive medical information transfer.

  1. Quantum Machine Learning and AI in Health

Quantum machine learning for diagnosis, prognosis, medical image analysis, biomedical signal processing, patient stratification, clinical risk prediction, and decision support.

Hybrid quantum-classical models for high-dimensional health data, multi-omics, rare disease analysis, and precision medicine.

Comparative studies between classical machine learning and quantum-enhanced methods in healthcare applications.

  1. Quantum Machine Learning and Hybrid Quantum-Classical AI in Health

Quantum machine learning for prevention, diagnosis, prognosis, medical imaging, digital pathology, biomedical signal processing, patient stratification, clinical risk prediction, and decision support.

Hybrid quantum-classical models for high-dimensional biomedical data, including multi-omics, genomics, rare diseases, and precision medicine.

Comparative studies of quantum, classical, and hybrid learning methods in clinically relevant healthcare applications, including benchmarking, robustness, uncertainty, and validation.

  1. Quantum Cryptography and Post-Quantum Cybersecurity for Healthcare

Post-quantum cryptography for hospitals, medical devices, electronic health records, telemedicine, health clouds, and long-term protection of patient data.

Quantum key distribution and quantum-safe communication for sensitive healthcare environments.

Cybersecurity of connected medical devices, Internet of Medical Things, smart hospitals, implantable devices, and remote monitoring systems.

NIST finalized the first three post-quantum cryptography standards in 2024, including FIPS 203, FIPS 204, and FIPS 205, which are relevant for protecting long-lived sensitive health data against future quantum threats.

  1. Quantum-Safe Privacy and Trustworthy Health Data Systems

Quantum-safe privacy-preserving health data systems, including post-quantum secure federated learning, quantum-resistant authentication, secure computation, and confidential clinical analytics.

Quantum-safe data sharing across hospitals, research institutions, insurers, public health agencies, and industry partners, with long-term protection of sensitive patient data.

Trustworthy governance for quantum-ready healthcare infrastructures, including consent management, auditability, accountability, security assurance, and resilience against future quantum threats.

  1. Digital Health, Smart Hospitals, and Cyber-Physical Healthcare Systems

Digital twins for patients, organs, hospitals, clinical pathways, medical devices, and healthcare logistics.

Smart hospitals, AI-supported triage, robotic healthcare, wearable sensors, remote patient monitoring, telemedicine, and edge AI for healthcare.

Cyber-physical resilience of healthcare infrastructures, including emergency response, hospital continuity, ransomware resilience, and safety-critical medical systems.

  1. Legal, Regulatory, Ethical, and Social Dimensions

Ethical quantum and AI in healthcare, fairness, bias, explainability, transparency, patient autonomy, informed consent, accountability, liability, safety, and trust.

Techno-legal governance of AI-enabled medical devices, quantum-enabled healthcare tools, health data systems, and autonomous clinical decision-support systems.

Topics include GDPR, EU AI Act, MDR, IVDR, European Health Data Space, cybersecurity laws, post-quantum cryptography, certification, liability, accountability, and human oversight.

Submissions on healthcare-centric quantum-AI standards or guidelines, AI risk management, medical software safety, HL7 FHIR, DICOM, and quantum-safe health data protection are welcome.

  1. Clinical Translation, Testing, and Commercialization

Clinical validation, real-world testing, end-user involvement, usability, implementation barriers, cost-benefit analysis, reimbursement, business models, health equity, and adoption pathways.

Types of Articles

BHTY Journal welcomes original research, reviews, systematic and scoping reviews, technical notes, short communications, case studies, clinical implementation reports, perspectives, policy analyses, and interdisciplinary papers.

Submissions should address a clear healthcare or life science challenge and contribute to one or more areas, including quantum technologies, AI, machine learning, cybersecurity, privacy, ethics, legal governance, clinical validation, implementation, commercialization, or responsible healthcare innovation.

Timeline for December 2026 Issue

Manuscript submissions due: October 15, 2026

First round of reviews completed: November 15, 2026

Revised manuscripts due: November 30, 2026

Second round of reviews completed: December 10, 2026

Final editorial decision and production: December 15, 2026

Publication: December 2026

Submission Details

  1. Manuscript Preparation Details
    https://blockchainhealthcaretoday.com/index.php/journal/authors-submission
  2. A cover letter must be submitted. Indicate the theme issue title in the

Submission Portal
Upload your manuscript through the journal Submission Portal at https://blockchainhealthcaretoday.com/index.php/journal/about/submissions

Note: APC will apply unless your university or organization has a Publish and Read Agreement on file; or you are from a Research4Life Group A country only.

Editors-in-Chief

Jennifer Hinkel, Founder & President, Sigla Sciences, and Managing Director, The Data Economics Company, USA

Umit Cali, L.LM., PhD, Professor of Digital Engineering for Future Technologies, University of York, UK

Lead Editors

Daniel Conway, PhD,  Associate Director, Blockchain Center of Excellence, Clinical Professor of Information Systems, University of Arkansas, USA

Ferhat Özgur Catak, PhD, Professor of Cyber Security, University of Stavanger (UiS), Norway

Ingrid Vasiliu-Feltes MD, EMBA, Founder & CEO, Institute for Science, Entrepreneurship and Investments, and Faculty, University of Miami, FL, and CEO, Softhread, USA

posted 5.19.2026

 

Decentralized Science (DeSci) & the Future of Health Research

BHTY invites original research, reviews, case studies, and perspective pieces for a dedicated to the theme Decentralized Science (DeSci) and its transformative implications for healthcare research, clinical innovation, and biomedical knowledge creation.

DeSci represents a paradigm shift — applying blockchain, distributed ledger technologies, tokenomics, and decentralized autonomous organization (DAO) governance to reshape how science is funded, conducted, validated, published, and shared. As the leading international open access journal amplifying platform approaches at the intersection of healthcare and distributed ledger technology, BHTY is uniquely positioned to chronicle, critique, and advance this emerging frontier.

We actively welcome reports of failed experiments, null results, and negative findings. In a rapidly evolving field, documenting what does not work is as vital as documenting what does. Researchers should not hesitate to submit rigorous accounts of unsuccessful DeSci implementations — these contributions are peer reviewed with equal seriousness and editorial priority.

SCOPE AND TOPICS OF INTEREST

Submissions addressing any of the following — and intersecting areas not listed below — are encouraged:

Foundational DeSci Infrastructure

  • Decentralized research funding protocols and DAOs
  • On-chain IP registration, licensing, and NFT based IP-NFTs
  • Smart contract frameworks for scientific agreements
  • Tokenomic models incentivizing open peer review
  • Decentralized preprint and publication platforms
  • Provenance tracking for research data and datasets

Clinical Research and Trials

  • Blockchain-enabled clinical trial management and integrity
  • Patient consent mechanisms and self-sovereign identity
  • Decentralized patient recruitment and retention
  • Immutable audit trails for trial data and adverse events
  • DeSci approaches to rare disease and orphan research

Data Science, AI and Interoperability

  • Federated learning over distributed health data
  • AI and generative AI within DeSci ecosystems
  • FHIR, HL7, and blockchain interoperability architectures
  • Zero-knowledge proofs for privacy-preserving data sharing

Governance, Regulation and Ethics         

  • DAO governance models for research institutions
  • Regulatory pathways for decentralized research protocols
  • Ethical frameworks for token incentivized participation
  • GDPR, HIPAA, and compliance in DeSci architectures
  • Community governance of biomedical data commons

Security, Privacy and Cryptography

  • Cryptographic approaches to health data sovereignty
  • Secure multi-party computation in biomedical research
  • Privacy-preserving genomics on distributed ledgers
  • Threat modeling for decentralized research infrastructure

Applied and Translational DeSci

  • Supply chain integrity for research materials and drugs
  • Revenue cycle automation via smart contracts
  • Immersive technologies (AR/VR/XR) in DeSci workflows
  • Network technologies supporting distributed research
  • Clinical computing platforms for decentralized studies
  • Patient-owned data marketplaces and data unions

Negative Results and Critical Perspectives

  • Failed DeSci pilots: analysis and lessons learned
  • Critical assessments of hype vs. evidence in DeSci
  • Barriers to adoption: organizational and cultural factors
  • Environmental and equity critiques of blockchain research

Submission Guidelines

All manuscripts must conform to the BHTY manuscript preparation guidelines including:

  • For DeSci platform or protocol studies, authors are encouraged to provide open access to smart contract code, architecture specifications, or GitHub repositories.
  • Structured abstracts (Background, Methods, Results, Conclusion) are required for empirical submissions; unstructured abstracts for perspectives and commentaries.
  • Human subjects research must include IRB/ethics committee approval numbers; animal research must confirm IACUC compliance.

Submissions are accepted through the BHTY online portal on a rolling basis. There is no submission deadline — manuscripts are reviewed and published on an ongoing schedule.

Why Submit to BHTY?

  • Leading international open access venue dedicated to blockchain and DLT in healthcare
  • Rapid, rolling publication — August and December 2026 issue publication dates
  • Indexing in major health informatics and medical databases including PubMed/PMC, Scopus, and more.
  • Global readership spanning clinicians, researchers, technologists, and policymakers
  • Dedicated editorial support for interdisciplinary and cross sector submissions
  • Active promotion through BHTY's professional network and partner organizations
  • No article processing charges for failed experiments and editorials
  • More details here.

posted 3.29.2026

 

Ethics of AI Agents and Agentic AI in Healthcare

Governance, Accountability, and Trust in Autonomous AI Systems

The rapid emergence of AI agents and agentic AI — autonomous, goal-directed software entities capable of multi-step reasoning, planning, and tool use — marks one of the most significant shifts in artificial intelligence since deep learning. In healthcare and life sciences, these systems are already being deployed for clinical decision support, diagnostic reasoning, drug discovery, patient triage, care coordination, and administrative automation. Unlike traditional AI tools that respond to a single prompt, agentic AI systems act, adapt, and make sequences of decisions with real-world consequences for patients, clinicians, and health systems.

This shift demands rigorous scholarly attention to the ethical, governance, and accountability frameworks that must govern agentic AI in high-stakes healthcare settings. Agentic AI introduces qualitatively new challenges: diffusion of moral responsibility across human-AI-system boundaries; opacity of multi-step autonomous reasoning chains; risk of misaligned objectives compounding across agentic pipelines; and the challenge of meaningful human oversight when AI acts at speeds beyond human review cycles. The role of blockchain and decentralized technologies in providing verifiable audit trails, consent management, and trustworthy governance infrastructure for autonomous AI is central to this issue.

This special issue of Blockchain in Healthcare Today (BHTY) invites original research, systematic reviews, conceptual frameworks, case studies, and policy analyses that advance understanding of how agentic AI can be designed, deployed, audited, and governed responsibly in healthcare. Submissions bridging the technical, ethical, legal, and governance dimensions — and those exploring distributed ledger technologies as enabling infrastructure for trustworthy autonomous systems — are especially encouraged.

Potential topics include but are not limited to the following:

Ethics and Moral Accountability of AI Agents

  • Responsibility attribution — where does accountability lie when an AI agent causes harm in a clinical setting?
  • Ethical frameworks for autonomous AI clinical decision-making (principlism, deontology, consequentialism applied to agentic AI)
  • Bias, fairness, and equity — detecting and mitigating discriminatory outcomes in autonomous healthcare AI agents
  • Explainability and transparency in multi-step agentic reasoning chains — when and how must an AI agent explain its actions?
  • Informed consent in the age of AI agents — can patients meaningfully consent to care mediated by autonomous AI?

Governance and Regulatory Frameworks

  • Regulatory approaches to agentic AI in healthcare: EU AI Act, FDA guidance, MHRA frameworks, and international harmonization
  • Lifecycle governance — pre-deployment evaluation, post-market surveillance, ongoing monitoring, and decommissioning of AI agents
  • Multi-stakeholder governance models — roles of patients, clinicians, developers, regulators, and payers in agentic AI oversight
  • AI agent certification and assurance — standards and audit mechanisms for healthcare AI agents
  • Cross-border governance of agentic AI in global health — jurisdictional challenges and international policy frameworks

Human Oversight and Control

  • Human-in-the-loop (HITL) and human-on-the-loop (HOTL) design patterns for high-stakes healthcare AI agents
  • Meaningful human oversight when AI agents operate at speeds or scales exceeding human review capacity
  • Corrigibility, interruptibility, and override mechanisms for deployed healthcare AI agents
  • Trust calibration between clinicians and AI agents — avoiding over-reliance and under-utilization
  • Clinician autonomy and professional responsibility in AI agent-augmented care delivery

Blockchain and Decentralized Technologies for AI Agent Governance

  • Blockchain-based audit trails for AI agent actions — immutable records of autonomous AI behavior in clinical settings
  • Smart contracts for AI agent governance — encoding ethical constraints and operational boundaries in executable rules
  • Decentralized consent management — patient-controlled access permissions for autonomous AI acting on health data
  • Verifiable AI agent provenance — using distributed ledgers to certify training data, model versions, and deployment history
  • Federated learning and decentralized AI for privacy-preserving agentic healthcare systems

Multi-Agent Systems and Agentic Pipelines in Healthcare

  • Orchestration and coordination of multiple AI agents in clinical workflows — managing emergent behavior and conflict resolution
  • AI agent interoperability across health information systems, EHRs, and institutional boundaries
  • Security and adversarial robustness of multi-agent healthcare systems — prompt injection, agent hijacking, cascading failures
  • Multi-agentic systems in clinical trials — automation, oversight, and ethical considerations

Patient Safety, Privacy, and Rights

  • Patient safety frameworks for autonomous AI in clinical decision-making — risk assessment and incident response
  • Privacy-by-design for AI agents processing sensitive health data — differential privacy, zero-knowledge proofs, secure enclaves
  • Patient rights in AI agent-mediated care — rights to explanation, contestation, and human review of AI agent decisions
  • Empirical and case study research on real-world agentic AI deployments — lessons learned, ethical challenges, and governance solutions applied

Timeline: December 2026 Issue

Milestone

Date

Manuscript submissions due

30 June 2026

First round of reviews completed

31 August 2026

Revised manuscripts due

31 October 2026

Second round of reviews completed

30 November 2026

Publication — December Issue

December 2026

Accepted papers may be published in the August issue should authors wish for an earlier publication date.

Submission Details.

  1. Manuscript Preparation Details https://blockchainhealthcaretoday.com/index.php/journal/authors-submission
  2. A COVER LETTER MUST BE SUBMITTED. Indicate Ethics of AI Agents and Agentic AI in Healthcare as the Theme Issue title in the cover letter.

Submission Portal   Upload your manuscript through the journal Submission Portal at   https://blockchainhealthcaretoday.com/index.php/journal/about/submissions

Note: APC will apply unless your university or organization has a Publish and Read Agreement on file.

Editors-in-Chief

Jennifer Hinkel, Founder & President, Sigla Sciences, and Managing Director, The Data Economics Company, USA

Umit Cali, MSc, PhD, Professor of Digital Engineering for Future Technologies, University of York, UK

Lead Editors

Prof. Muthu Ramachandran, BSc MSc PhD FBCS FHEA SMIEEE SMACM

BHTY Advisory Council, Principal Research Consultant, Forti5 Technologies Ltd, UK; Visiting Distinguished Professor, University of South Africa (UNISA); Adjunct Research Faculty, Lincoln University College, Malaysia

linkedin.com/in/muthuuk   |   amazon.com/author/muthu   |   muthu.ramachandran@forti5.tech

Tomer Jordi Chaffer, Researcher, McGill University – Faculty of Law

https://www.linkedin.com/in/jordichaffer/?originalSubdomain=ca  |  Jordi.chaffer@mail.mcgill.ca

posted 3.13.2026

 

2026 General Call for Papers

Editorial Mission: BHTY publishes platform approaches in healthcare and distributed ledger technology research and innovations across the spectrum of healthcare information systems, data science, AI and generative AI, interoperability, consent mechanisms, privacy preservation, security, clinical trials management, supply chain management, revenue cycle automation, immersive technologies, tokenomics, governance, regulation, network technologies, clinical computing, cryptography, and failed experiments in this evolving specialty field.

Topics of Interest

Healthcare Information Systems & Interoperability

  • Blockchain-enabled health data sharing and exchange
  • Electronic health records management and integration
  • Cross platform interoperability solutions
  • Healthcare data standards and protocols
  • Decentralized health information networks

Data Science, AI & Generative AI

  • AI powered clinical decision support systems
  • Generative AI applications in healthcare
  • Machine learning models on distributed health data
  • Privacy preserving AI and federated learning
  • Multi-agentic systems in health ecosystems
  • Digital twins and synthetic data generation

Privacy, Security & Consent

  • Privacy preserving cryptographic methods
  • Patient consent management mechanisms
  • Zero knowledge proofs in healthcare
  • Secure multiparty computation
  • Identity management and authentication
  • Data sovereignty and patient control

Clinical Applications

  • Clinical trials management and data integrity
  • Precision and personalized medicine platforms
  • Genomics and "omic" medicine applications
  • Remote patient monitoring and telehealth
  • Clinical computing and workflow automation
  • Medical imaging and diagnostic platforms

Supply Chain & Operations

  • Pharmaceutical supply chain traceability
  • Medical device tracking and authentication
  • Counterfeit prevention and product verification
  • Cold chain monitoring and compliance
  • Hospital asset management
  • Revenue cycle automation and operational efficiencies

Emerging Technologies

  • Smart contracts for healthcare automation
  • Immersive technologies (VR/AR/XR) in medical training and care
  • Internet of Medical Things (IoMT) integration
  • Tokenomics and healthcare incentive mechanisms
  • Decentralized clinical trials
  • Web3 and decentralized healthcare applications
  • Decentralized science (DeSci) platforms and research funding
  • Digital assets and health tokens
  • NFTs for medical credentials, research, and patient engagement
  • Decentralized autonomous organizations (DAOs) in healthcare

Governance, Regulation & Standards

  • Regulatory frameworks and compliance
  • Healthcare governance models
  • Policy implications and recommendations
  • Standards development and adoption
  • Legal and ethical considerations
  • International regulatory harmonization

Failed Experiments & Negative Results

  • Lessons learned from unsuccessful implementations
  • Critical analysis of limitations and barriers
  • Reproducibility studies and validation challenges

Article Types

  • Original Research Articles: Novel findings and empirical studies
  • Systematic Reviews: Comprehensive literature analyses
  • Technical Reports: Implementation details and system architectures
  • Case Studies: Real world applications and outcomes
  • Opinions, Perspectives & Commentaries: Expert opinions, thought leadership, and future directions
  • Blogs: Accessible insights for broader audiences
  • Failed Experiments: Negative results and lessons learned (no APC)

Why Publish with BHTY?

  • 100% fully open access continuous publication
  • Amplification across 145+ countries
  • Indexed in PubMed Central, SCOPUS, DOAJ, and more
  • 35,000-45,000+ monthly impressions via Google Analytics
  • Amplification across 12 social media outlets including LinkedIn
  • Press releases distributed via news wires

Author-Friendly Policies

  • No submission fees
  • No page charges (including color graphics)
  • APC: $1,285 USD ($850 for enrolled university students)
  • NO APC for failed experiments, editorials, or blogs
  • Waivers available up to 100%
  • Authors retain copyright (CC-BY-NC)
  • No embargoes on sharing

Fast & Rigorous Review

  • Average 6 days to first editorial decision
  • Average 102 days to acceptance
  • Average 112 days to publication
  • Fast track publications available at no extra charge
  • World class peer review board
  • 24 hour to 1 week response time for author inquiries
  • Elective Transparent Peer Review (TPR) offered

Quality Metrics

  • Scopus CiteScore 2024: 2.4
  • Scimago Journal Rank (SJR) H-Index: 9
  • 34% acceptance rate in 2025
  • Rigorous, engaged editorial team

Enhanced Dissemination

  • Published in 4 formats: PDF, XML, HTML, ePub
  • Citation tracking with Altmetric and Dimensions
  • Video abstracts accepted
  • Article infographics may be published
  • Targeted email announcements to international readership
  • Annual Editors Best Article Award eligibility
  • Archived on Portico, Lockss, Crossref

Submission Guidelines

  • Include a cover letter with submission – see Manuscript Preparation here.
  • Manuscript must be a Word document following BHTY Manuscript Preparation guidelines
  • Maximum 10,000 words including references and images
  • References must be in Vancouver style

How to Submit

Submit your manuscript through our online portal: https://blockchainhealthcaretoday.com/index.php/journal/about/submissions

Publication Schedule

  • April 2026
  • August 2026
  • December 2026

Contact

For inquiries about manuscript submissions, editorial policies, or special issues:

John Russo Jr, PharmD, Managing Editor

j.russo@partnersindigitalhealth.com

info@partnersindigitalhealth.com

posted 12.23.25

 

2025 Call for Papers - Special Issue

Reimagining Healthcare with AI, Blockchain, and Digital Twins: Privacy, Security, Legal Tech, and Decentralization Aspects

Submission Deadline: September 15, 2025

Journal: Blockchain in Healthcare Today Platform Approaches Journal (BHTY)

About the Special Issue

Editors invite high-quality submissions for a special issue of Blockchain in Healthcare Today Platforms Approaches Journal (BHTY) exploring the convergence of blockchain, artificial intelligence (AI), digital twins, and multi-agentic models in transforming the future of healthcare and the broader health and life sciences industry. With the rise of generative AI (GenAI) and digital legal technologies, healthcare systems are evolving toward more intelligent, secure, and decentralized infrastructures.

This issue aims to bridge the technological, ethical, and legal aspects of these transformations—fostering dialogue across disciplines, including digital health, cybersecurity, data privacy, AI governance, and healthcare law.

Scope and Topics of Interest are below, but not limited to:

  • Blockchain-enabled health data sharing and interoperability
  • Multi-agentic systems and decentralized AI architectures in health ecosystems
  • Generative AI for clinical decision support, diagnostics, and digital therapeutics
  • Smart contracts and legal automation in healthcare delivery
  • Digital Twins in Healthcare: Design, deployment, and ethical implications
  • Privacy-by-design and cybersecurity frameworks for health systems
  • Federated learning and secure multiparty computation in medical AI
  • Legal tech, explainable AI (XAI), and regulatory compliance (e.g., GDPR, HIPAA, EU AI Act)
  • Governance models for decentralized autonomous organizations (DAOs) in healthcare
  • Tokenomics, incentives, and ethical AI use in health data ecosystems
  • Case studies: AI+Blockchain applications in hospitals, insurance, pharma, or public health
  • Risk assessment, trustworthiness, and liability in AI-driven medical systems

Important Dates

  • Submission Deadline: September 15, 2025
  • Notification of Acceptance: November 15, 2025
  • Publication Date: December 2025 (Rolling publication possible upon acceptance)

Submission Guidelines

Please submit your manuscript via the journal’s submission portal, following the author guidelines. When submitting, please indicate in the cover letter that your manuscript is intended for the Special Issue on AI, Blockchain, and Digital Twins in Healthcare.

Upload papers to the Submission Portal at https://blockchainhealthcaretoday.com/index.php/journal/about/submissions

Page limit: 5 to 7 pages limit 

No APC will be charged if submitted during April. BHTY announced waiving APC fees for accepted submissions for submissions received in April only. 

Manuscript Preparation Requirements at https://blockchainhealthcaretoday.com/index.php/journal/authors-submission

Editors-in-Chief  

Umit Cali, MSc, PhD, Professor of Digital Engineering for Future Technologies, University of York, UK

Jennifer Hinkel, Founder & President, Sigla Sciences, and Managing Director, The Data Economics Company, USA

For all editorial board members click here.

posted 4.5.25