Technology NewsTechnology NewsTechnology News
  • Computing
  • AI
  • Robotics
  • Cybersecurity
  • Electric Vehicle
  • Wearables
  • Gaming
  • Space
Reading: AI-Enhanced Blockchain Framework for Medicine Supply Chain Management
Share
Font ResizerAa
Technology NewsTechnology News
Font ResizerAa
Search
  • Computing
  • AI
  • Robotics
  • Cybersecurity
  • Electric Vehicle
  • Wearables
  • Gaming
  • Space
Follow US
  • Cookie Policy (EU)
  • Contact
  • About
© 2025 NEWSLINKER - Powered by LK SOFTWARE
AI

AI-Enhanced Blockchain Framework for Medicine Supply Chain Management

Highlights

  • The framework integrates AI and blockchain to improve data validation and storage.

  • IPFS and Hyperledger Fabric optimize storage and enhance system scalability.

  • Performance metrics indicate significant improvements in throughput and latency.

Kaan Demirel
Last updated: 4 June, 2024 - 10:25 am 10:25 am
Kaan Demirel 11 months ago
Share
SHARE

The “Intelligent privacy‐preserving data management framework for the medicine supply chain system,” reported by SECURITY AND PRIVACY, addresses the integration of blockchain technology with artificial intelligence (AI) to improve the security and efficiency of pharmaceutical data management. Traditional blockchain methods face limitations in scalability and data validation, which the proposed framework aims to overcome. By combining machine learning (ML) algorithms with blockchain, the framework enhances the accuracy and security of medicine supply chain data. This hybrid approach ensures that only valid data is stored on the blockchain, addressing issues related to fake data and data provenance, which have been persistent concerns in existing systems.

Contents
Framework StructureComparative Insights

Framework Structure

The framework utilizes ML to classify valid and invalid data within the medicine supply chain, ensuring that only verified data is stored on the blockchain. This integration allows the blockchain to perform pre-storage validation, mitigating the risks associated with fake data entries. To further optimize the process, the framework employs an InterPlanetary File System (IPFS) to store medicine supply chain data, computing its hash and storing it on a private Hyperledger Fabric blockchain. This decentralized storage approach reduces the need for extensive storage space, enhancing the scalability of the blockchain system.

The proposed system’s performance was evaluated in two distinct phases: the machine learning phase and the blockchain phase. During the ML phase, the model’s performance was measured using statistical methods, ensuring its effectiveness in data classification. In the blockchain phase, various performance parameters, such as throughput (618 transactions per second), latency (0.12 seconds), response time (11 seconds), and data rate (282 Mbps), were assessed to determine the efficiency of the framework. These evaluations indicate a significant improvement in the management and security of the medicine supply chain.

Comparative Insights

Comparing the proposed framework to previous methodologies reveals notable advancements. Earlier blockchain systems often struggled with scalability and storage constraints, as they required the storage of entire files, consuming substantial space and reducing efficiency. The integration of IPFS and Hyperledger Fabric in the new framework addresses these issues by enabling decentralized storage and minimizing storage requirements. This approach not only optimizes data storage but also improves retrieval times, which are critical for the fast-paced pharmaceutical industry.

Additionally, previous attempts at integrating blockchain with supply chain management lacked robust data validation mechanisms, resulting in the potential for fake data entries. The current framework’s use of ML algorithms for data validation before storage marks a significant improvement, ensuring higher data integrity and reliability. These enhancements are crucial for maintaining the trustworthiness of the medicine supply chain, which is essential for patient safety and regulatory compliance.

The integration of AI and blockchain in the proposed framework offers a comprehensive solution to longstanding issues in the pharmaceutical supply chain. By combining ML-based data validation with decentralized storage via IPFS and Hyperledger Fabric, the framework enhances both the security and scalability of the system. The performance evaluations highlight the framework’s efficiency, demonstrating its potential to revolutionize data management in the pharmaceutical industry. This holistic approach not only mitigates the risk of fake data but also ensures efficient data handling, which is vital for the industry’s operational success.

You can follow us on Youtube, Telegram, Facebook, Linkedin, Twitter ( X ), Mastodon and Bluesky

You Might Also Like

Trump Alters AI Chip Export Strategy, Reversing Biden Controls

ServiceNow Launches AI Platform to Streamline Business Operations

OpenAI Restructures to Boost AI’s Global Accessibility

Top Tools Reshape Developer Workflows in 2025

AI Chatbots Impact Workplaces, But Do They Deliver?

Share This Article
Facebook Twitter Copy Link Print
Kaan Demirel
By Kaan Demirel
Kaan Demirel is a 28-year-old gaming enthusiast residing in Ankara. After graduating from the Statistics department of METU, he completed his master's degree in computer science. Kaan has a particular interest in strategy and simulation games and spends his free time playing competitive games and continuously learning new things about technology and game development. He is also interested in electric vehicles and cyber security. He works as a content editor at NewsLinker, where he leverages his passion for technology and gaming.
Previous Article Clustering Techniques Enhance Hierarchical Models for Concrete Strength Prediction
Next Article Federated Knowledge Distillation for Enhanced Insulator Defect Detection in Resource-Constrained Environments

Stay Connected

6.2kLike
8kFollow
2.3kSubscribe
1.7kFollow

Latest News

Tesla Semi Gains Momentum with US Foods Collaboration
Electric Vehicle
AMD’s New Graphics Card Threatens Nvidia’s Market Share
Computing
Dodge Charger Hits Tesla Cybertruck in Failed Stunt
Electric Vehicle
Sonair Unveils ADAR Sensor to Enhance Robot Safety
Robotics
Apple Plans to Add Camera to Future Apple Watch Models
Wearables
NEWSLINKER – your premier source for the latest updates in ai, robotics, electric vehicle, gaming, and technology. We are dedicated to bringing you the most accurate, timely, and engaging content from across these dynamic industries. Join us on our journey of discovery and stay informed in this ever-evolving digital age.

ARTIFICAL INTELLIGENCE

  • Can Artificial Intelligence Achieve Consciousness?
  • What is Artificial Intelligence (AI)?
  • How does Artificial Intelligence Work?
  • Will AI Take Over the World?
  • What Is OpenAI?
  • What is Artifical General Intelligence?

ELECTRIC VEHICLE

  • What is Electric Vehicle in Simple Words?
  • How do Electric Cars Work?
  • What is the Advantage and Disadvantage of Electric Cars?
  • Is Electric Car the Future?

RESEARCH

  • Robotics Market Research & Report
  • Everything you need to know about IoT
  • What Is Wearable Technology?
  • What is FANUC Robotics?
  • What is Anthropic AI?
Technology NewsTechnology News
Follow US
About Us   -  Cookie Policy   -   Contact

© 2025 NEWSLINKER. Powered by LK SOFTWARE
Welcome Back!

Sign in to your account

Register Lost your password?