Skip to content
MediDose Ai

MediDose Ai

"Precision dosing: Harnessing AI insights and blockchain security for personalized drug recommendations."

Created on 7th March 2025

MediDose Ai

MediDose Ai

"Precision dosing: Harnessing AI insights and blockchain security for personalized drug recommendations."

The problem MediDose Ai solves

The Problem It Solves
Challenges in personalized drug dosing: Traditional guidelines use averages and ignore unique patient factors (age, weight, genetics, medical history), often resulting in ineffective treatment or dangerous side effects. Incorrect dosages may lead to adverse reactions, under-medication, or overdosing. Clinicians face the challenge of manually integrating diverse data points—a time-consuming, error-prone process—and conventional systems lack verifiable records, hindering transparency and regulatory compliance.

How MediDose ai Addresses These Challenges
AI-Driven Recommendations: MediDose ai leverages machine learning to analyze comprehensive patient data and generate optimal dosage recommendations with a confidence metric and alternative medication suggestions.
Blockchain Data Integrity: Every dosing decision is immutably recorded on a blockchain ledger, ensuring tamper-proof, traceable records that satisfy regulatory requirements and build trust.
Enhanced Safety and Efficiency: Automation minimizes human error and streamlines clinical workflows, enabling faster, informed decisions and improving overall patient safety.
Scalable, Modern Architecture: Developed with modern web technologies (React, TypeScript, Vite), MediDose ai integrates seamlessly with existing systems and adapts to future healthcare needs.
Use Cases and Benefits
Healthcare Providers: Receive personalized dosing insights to optimize patient care while reducing manual errors and saving time.
Pharmaceutical Companies: Use aggregated, anonymized data to refine drug formulations and dosing guidelines, improving therapeutic outcomes.
Patients: Benefit from tailored treatment plans that minimize side effects and maximize treatment efficacy.
Regulatory Bodies: Gain access to transparent, immutable audit trails that simplify compliance and enhance accountability.
In Summary-MediDose ai revolutionizes personalized drug dosing by integrating advanced AI with robust blockchain technology.

Challenges we ran into

Challenges We Ran Into

  1. Asynchronous Data Handling with TensorFlow.js:
    We faced issues loading our ML model asynchronously, which led to UI freezes and unpredictable behavior.
    Solution: Refactored the code to use async/await with proper error handling and fallback states, ensuring the UI remained responsive.

  2. Integrating AI and Blockchain Modules:
    Combining AI-driven dosage recommendations with blockchain transactions introduced delays in fetching confirmations, which affected responsiveness.
    Solution: Implemented caching and robust retry logic for blockchain interactions to smooth the data flow between the AI and blockchain components.

  3. Configuration Hurdles with TypeScript, ESLint, and Vite:
    Setting up the development environment resulted in multiple ESLint and TypeScript errors due to conflicting configurations.
    Solution: Reviewed and updated configuration files (tsconfig.json and ESLint settings), consulted community resources, and adjusted dependency versions to achieve a stable setup.

Through persistent debugging, community support, and iterative improvements, we overcame these challenges and built a robust, efficient, and reliable system.

Tracks Applied (2)

Polygon Track

MediDose is an innovative healthcare solution that leverages blockchain technology. It provides personalized drug dosage...Read More
Polygon

Polygon

Ethereum Track

MediDose is an innovative healthcare solution built on Ethereum. It uses smart contracts to record personalized drug dos...Read More
ETHIndia

ETHIndia

Discussion

Builders also viewed

See more projects on Devfolio