Convergence of Artificial Intelligence, Internet of Medical Things, and Blockchain Technology for Next-Generation Precision Healthcare and Intelligent Drug Delivery Systems

Aims & Scope

Modern medical ecosystems are experiencing a rapid transformation driven by decentralized systems, sensory technology, and machine intelligence. This Special Issue explores the vital intersections of Artificial Intelligence (AI), the Internet of Medical Things (IoMT), and Blockchain network frameworks to address fundamental bottlenecks in contemporary public healthcare infrastructure.

AI provides the predictive engine required for diagnostic precision and adaptive pharmacokinetics. Simultaneously, IoMT continuous monitoring wearables yield high-fidelity, real-time biometric streams. However, these systems face chronic architectural vulnerabilities regarding continuous telemetry compliance, data interception risks, and malicious firmware manipulation.

Integrating decentralized cryptographic Ledgers (Blockchain) provides an immutable, auditable, and end-to-end data provenance layer to secure confidential health registries. By bringing these paradigms together, this Special Issue aims to accelerate the transition from static, generalized medical therapies toward highly responsive, secure, decentralized, and patient-centric automated drug delivery systems.

Aims and Objectives

• To curate breakthrough methodologies unifying edge computing, sensory IoMT arrays, and automated pharmaceutical mechanisms.
• To introduce tamper-resistant decentralized security layers protecting consumer biomedical registries during remote triage.
• To highlight novel machine learning architectures capable of guiding closed-loop transdermal or localized micro-dosage therapeutics.

Scope

• Deep Learning frameworks for patient predictive modeling and autonomous diagnostics.
• Cryptographic smart contract applications for transparent clinical trial validation.
• Real-time network security, malware counteraction, and edge layer safety in IoMT networks.
• Smart hardware, wearable electronics, and bio-sensors for automated insulin or drug delivery.

Guest Editor

Prof. Engr. Dr. S M Nazmuz Sakib
Academic Title: Fellow
Institution: Scholars Academic and Scientific Society, India
Country: Bangladesh
Email: sakibpedia@gmail.com / sakib.bee5@dsce.edu.bd
ORCID ID: 0000-0001-9310-3014
Scopus Author ID: 57743292000

Short Biography

Prof. Engr. Dr. S M Nazmuz Sakib is a multidisciplinary researcher, author, and inventor. He serves as an independent scientific compiler with credentials stretching across Information Technology (BEng, Harris University), Business Administration (DBA, Atlanta College), and Law (LLB Hons, Dhaka International University).

Dr. Sakib is a prolific reviewer with over 68 verified high-tier peer reviews logged on Clarivate across flagship outlets published by Springer Nature, Elsevier, and Taylor & Francis. His technical expertise focuses heavily on network security architectures, biometric computing, edge network defenses, and autonomous hardware engineering systems.

Relevant Publications & Patents

• Patent: Medical Apparatus For Transdermal Delivery Of Insulin (UK Registered Design No. 6404343).
• Article: Internet of Medical Things (IoMT) for Remote Healthcare Monitoring Using Wearable Sensors, International Journal of Computing and Related Technologies.
• Article: Blockchain Technology for Smart Contracts, CRC Press, Taylor & Francis Group.

Previous Editorial Experience

• Contracted Scientific Volume Book Editor for Springer Nature Switzerland AG (2026–Present; Tracker ID 688989).
• Editor-in-Chief & Volume Architect for Research Collab Publications (General Forensics Compendium Project).

Topics of Interest

• Deep Learning frameworks for patient predictive modeling and autonomous diagnostics
• Cryptographic smart contract applications for transparent clinical trial validation
• Real-time network security, malware counteraction, and edge layer safety in IoMT networks
• Smart hardware, wearable electronics, and bio-sensors for automated insulin or drug delivery

Suggested Keywords

Artificial Intelligence (AI); Internet of Medical Things (IoMT); Blockchain Ledger Technology; Precision Healthcare; Intelligent Drug Delivery Systems; Cryptographic Smart Contracts.

Important Dates

Call for Papers

UniVlora Scientific Journal (UVSJ) invites researchers, academics, healthcare professionals, engineers, and industry experts to contribute to this Special Issue on the convergence of Artificial Intelligence, Internet of Medical Things, and Blockchain Technology for next-generation precision healthcare and intelligent drug delivery systems.

The Special Issue explores the intersections of AI, IoMT, and Blockchain network frameworks, with particular emphasis on diagnostic precision, adaptive pharmacokinetics, real-time biometric monitoring, secure healthcare data management, decentralized systems, and automated drug delivery.

Contributions are particularly welcomed in the following areas:

• Deep Learning frameworks for patient predictive modeling and autonomous diagnostics;
• Cryptographic smart contract applications for transparent clinical trial validation;
• Real-time network security, malware counteraction, and edge layer safety in IoMT networks;
• Smart hardware, wearable electronics, and bio-sensors for automated insulin or drug delivery.

Estimated number of manuscripts: 15–20
Expected accepted manuscripts: 8–12

Countries expected to contribute: Bangladesh, Albania, India, Germany, United Kingdom, Pakistan, Australia.

Submission Deadline: February 15, 2027
Publication: July 2027 Issue

Authors are invited to submit their manuscripts electronically by email at: 📧botimeuv@univlora.edu.al