Drug Dosage Optimisation Using AI for Healthcare Company

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Business Goals

  • Personalize drug dosage.
  • Prevent cases of drug toxicity.
  • Find out why some patients don't respond to the medicine.
  • Optimize medication spending.

Challenge

  • Years of treatment history according to the unified protocol revealed that some patients experienced toxic effects from an excessive amount of the drug. In contrast, others developed no therapeutic effect regardless of dosage.
  • Fortunately, the customer has been carefully recording medications and corresponding patients’ responses in the form of blood biochemistry for years.

Results

  • Biochemical factors of drug resistivity have been determined, described, and quantified.
  • During 30 days of clinical testing of the system, 12 cases of drug poisoning have been prevented; 3 cases of drug resistance have been identified.
  • Drug dosage was either lowered or canceled, saving the substance and decreasing medical spending.

Implementation Details

  • The history of medicine usage was analyzed.
  • Patients were stratified into high, moderate, and no drug susceptibility groups by exposing biochemical drug response patterns.
  • Systems of early detection of drug resistance and toxicity have been developed. In the detection case, the drug administration is immediately canceled.

Industry

Service

Type

  • Case Study

Keywords

  • Personalized Medicine
  • Pharmaceuticals and Biotech
  • Healthcare Provider
Roadmap
Solution Design
AI Solutions Architect
Data Collection
Data Scientist
Exploratory Data Analysis
Data Scientist
Data Preprocessing
Data Scientist
Advanced Analytics
Data Scientist
Findings Delivery
AI Solutions Architect, Data Scientist
Features Engineering
Data Scientist
ML Model Development
Data Scientist
Model Performance Evaluation
Data Scientist
Hyperparameters Tuning
Data Scientist
Standalone AI Service Design
AI Solutions Architect, MLOps
Standalone AI Service Coding
MLOps
Release

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    Michael Gurbych Director,
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    Roadmap
    Solution Design
    AI Solutions Architect
    Data Collection
    Data Scientist
    Exploratory Data Analysis
    Data Scientist
    Data Preprocessing
    Data Scientist
    Advanced Analytics
    Data Scientist
    Findings Delivery
    AI Solutions Architect, Data Scientist
    Features Engineering
    Data Scientist
    ML Model Development
    Data Scientist
    Model Performance Evaluation
    Data Scientist
    Hyperparameters Tuning
    Data Scientist
    Standalone AI Service Design
    AI Solutions Architect, MLOps
    Standalone AI Service Coding
    MLOps
    Release

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