Technical Architecture

Core system architecture

The technical architecture of BioAI is based on a three-layer core system, ensuring data security, computational efficiency, and the flexibility of applications.

Data Layer: All user health data, genetic information, and electronic medical records are encrypted and stored using blockchain technology, ensuring data privacy and security.
AI Computing Layer: In this layer, AI algorithms process and analyze the stored data for drug discovery, efficacy prediction, and personalized treatment plan optimization. Federated learning technology is used to ensure that data does not leave the region and remains private during collaboration between different institutions.
Application Layer: Users can engage in health management and data synchronization through a personalized medical app, or participate in tasks via a crowdsourced research platform. Through a data marketplace, users and institutions can trade and monetize data.

Technical Features

The technical architecture of BioAI is based on cutting-edge AI, blockchain, and decentralization technologies, ensuring the platform’s efficiency, security, and scalability. Below are several key technical features of the BioAI platform:

Federated Learning Technology (Federated Learning++) Federated learning is one of the core innovations of the BioAI platform. It allows data to be shared across multiple institutions while ensuring that the original data remains local and is never exposed. By storing data in various medical institutions or research centers, each participant can train AI models without exchanging or exposing sensitive data. This not only protects data privacy but also enhances the diversity and accuracy of model training. Federated learning technology effectively ensures the privacy and security of medical data, providing a solid foundation for precision medicine and intelligent drug development.
Blockchain-driven Data Storage and Management Blockchain provides BioAI with a transparent and immutable data storage solution. Through decentralized distributed ledger technology, sensitive information such as patient health data, genetic information, and treatment records can be securely stored, with access restricted to authorized users. This design not only guarantees data security but also ensures the fluidity of data, enabling global researchers to share data and collaborate across borders. Patients have full control over their data and can choose whether to share it on the platform, even converting it into NFTs for trade.
Dynamic NFT Medical Records BioAI innovatively uses NFT (Non-Fungible Token) technology to generate dynamic medical records. Each patient’s health data, genetic information, and treatment history can be represented by NFTs, which can be updated or adjusted as needed. This NFT format is not only unique but also allows patients to choose which information they wish to share and receive token rewards in return. Dynamic NFT medical records ensure patient privacy while providing an innovative solution for medical data trading and circulation.
Quantum-Resistant Encryption Technology To address the potential threats of future quantum computing, BioAI employs advanced quantum-resistant encryption technologies, such as the NIST-certified ML-KEM (Multi-Layer Encryption Algorithm), to protect the security of all sensitive data on the platform. This technology ensures that existing encryption mechanisms will remain unbreakable even after the development of quantum computing, maintaining the confidentiality and integrity of data in the long term. This technical feature makes BioAI a forward-thinking platform, laying a solid foundation for the future security of medical data.
Smart Contracts and Automated Processes BioAI utilizes smart contract technology to drive automation within the platform, especially in the applications of clinical trials and drug development. Smart contracts automatically match patients with clinical trials, ensuring they participate in the right trials at the right time, and allocate earnings based on treatment outcomes. This not only increases trial efficiency, reduces human intervention, but also ensures fairness and transparency, minimizing human error and management costs.
AI-Driven Precision Medicine and Drug Discovery BioAI leverages powerful AI algorithms for drug screening and personalized treatment recommendations. AI can not only recommend the best treatment plans based on a patient's genetic information and medical history but also rapidly identify potentially effective compounds in the early stages of drug discovery, greatly enhancing the success rate and speed of drug development. Furthermore, AI can analyze big data to uncover potential risk factors for diseases, enabling early interventions and further promoting the development of precision medicine.
Decentralized Global Collaboration Platform BioAI features a decentralized collaboration platform that brings together global researchers, doctors, patients, and volunteers. Each user can participate in research tasks based on their expertise or interests, with tasks allocated through smart contracts and participants rewarded with tokens. This decentralized collaboration model breaks down the traditional limitations of research resources, making global medical research and development more efficient and democratic.

Key Technological Breakthroughs

Federated Learning++: Through federated learning technology, BioAI enables different institutions to collaboratively train AI models while ensuring privacy. This technology can handle distributed data, improving the accuracy and reliability of AI models while mitigating the risk of data leakage.
Dynamic NFT Medical Records: Patient health data is generated in the form of NFTs, ensuring the uniqueness and combinability of the data. Users can choose to share certain data and receive token rewards based on their preferences.
Quantum-Resistant Encryption: To address the potential threat of future quantum computing to existing encryption algorithms, BioAI employs the NIST-certified ML-KEM algorithm to encrypt medical data, ensuring long-term data security.

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Last updated 3 months ago

Core system architecture

The technical architecture of BioAI is based on a three-layer core system, ensuring data security, computational efficiency, and the flexibility of applications.

Data Layer: All user health data, genetic information, and electronic medical records are encrypted and stored using blockchain technology, ensuring data privacy and security.

AI Computing Layer: In this layer, AI algorithms process and analyze the stored data for drug discovery, efficacy prediction, and personalized treatment plan optimization. Federated learning technology is used to ensure that data does not leave the region and remains private during collaboration between different institutions.

Application Layer: Users can engage in health management and data synchronization through a personalized medical app, or participate in tasks via a crowdsourced research platform. Through a data marketplace, users and institutions can trade and monetize data.

Technical Features

Federated Learning Technology (Federated Learning++) Federated learning is one of the core innovations of the BioAI platform. It allows data to be shared across multiple institutions while ensuring that the original data remains local and is never exposed. By storing data in various medical institutions or research centers, each participant can train AI models without exchanging or exposing sensitive data. This not only protects data privacy but also enhances the diversity and accuracy of model training. Federated learning technology effectively ensures the privacy and security of medical data, providing a solid foundation for precision medicine and intelligent drug development.

Blockchain-driven Data Storage and Management Blockchain provides BioAI with a transparent and immutable data storage solution. Through decentralized distributed ledger technology, sensitive information such as patient health data, genetic information, and treatment records can be securely stored, with access restricted to authorized users. This design not only guarantees data security but also ensures the fluidity of data, enabling global researchers to share data and collaborate across borders. Patients have full control over their data and can choose whether to share it on the platform, even converting it into NFTs for trade.

Dynamic NFT Medical Records BioAI innovatively uses NFT (Non-Fungible Token) technology to generate dynamic medical records. Each patient’s health data, genetic information, and treatment history can be represented by NFTs, which can be updated or adjusted as needed. This NFT format is not only unique but also allows patients to choose which information they wish to share and receive token rewards in return. Dynamic NFT medical records ensure patient privacy while providing an innovative solution for medical data trading and circulation.

Quantum-Resistant Encryption Technology To address the potential threats of future quantum computing, BioAI employs advanced quantum-resistant encryption technologies, such as the NIST-certified ML-KEM (Multi-Layer Encryption Algorithm), to protect the security of all sensitive data on the platform. This technology ensures that existing encryption mechanisms will remain unbreakable even after the development of quantum computing, maintaining the confidentiality and integrity of data in the long term. This technical feature makes BioAI a forward-thinking platform, laying a solid foundation for the future security of medical data.

Smart Contracts and Automated Processes BioAI utilizes smart contract technology to drive automation within the platform, especially in the applications of clinical trials and drug development. Smart contracts automatically match patients with clinical trials, ensuring they participate in the right trials at the right time, and allocate earnings based on treatment outcomes. This not only increases trial efficiency, reduces human intervention, but also ensures fairness and transparency, minimizing human error and management costs.

AI-Driven Precision Medicine and Drug Discovery BioAI leverages powerful AI algorithms for drug screening and personalized treatment recommendations. AI can not only recommend the best treatment plans based on a patient's genetic information and medical history but also rapidly identify potentially effective compounds in the early stages of drug discovery, greatly enhancing the success rate and speed of drug development. Furthermore, AI can analyze big data to uncover potential risk factors for diseases, enabling early interventions and further promoting the development of precision medicine.

Decentralized Global Collaboration Platform BioAI features a decentralized collaboration platform that brings together global researchers, doctors, patients, and volunteers. Each user can participate in research tasks based on their expertise or interests, with tasks allocated through smart contracts and participants rewarded with tokens. This decentralized collaboration model breaks down the traditional limitations of research resources, making global medical research and development more efficient and democratic.

Key Technological Breakthroughs

Federated Learning++: Through federated learning technology, BioAI enables different institutions to collaboratively train AI models while ensuring privacy. This technology can handle distributed data, improving the accuracy and reliability of AI models while mitigating the risk of data leakage.

Dynamic NFT Medical Records: Patient health data is generated in the form of NFTs, ensuring the uniqueness and combinability of the data. Users can choose to share certain data and receive token rewards based on their preferences.

Quantum-Resistant Encryption: To address the potential threat of future quantum computing to existing encryption algorithms, BioAI employs the NIST-certified ML-KEM algorithm to encrypt medical data, ensuring long-term data security.