Our software provides a comprehensive solution for optimizing drug dosages based on advanced modeling techniques, facilitating Model-Informed Drug Development (MIDD) and Model-Informed Precision Dosing (MIPD). With two key modules – the "Prediction Module" and the "Optimization Module" – our software empowers drug development experts to predict drug effects and identify optimal dosage regimens efficiently.
Prediction Module:
- Utilizes diverse model types including PK/PD models, Agent-Based models, Machine Learning models, Ordinary Differential Equations, Nonlinear Mixed-Effect models, and Surrogate models.
- Enables a broad scope by leveraging ML to generalize across drugs, surpassing the specificity of traditional PK/PD models.
- Supports integration with existing software such as PK-SIM for enhanced modeling capabilities.
- Incorporates data from various sources including preclinical, clinical, and literature data, enabling comprehensive analysis.
- Employs a smart model selector to determine the most suitable model or combination for accurate predictions.
Optimization Module:
- Offers a user-friendly interface for inputting dosage regimens and toxicity thresholds.
- Utilizes optimization algorithms such as differential evolution, gradient descent, and genetic algorithms for efficient dosage optimization.
- Executes computationally intensive tasks in parallel cores, ensuring swift processing.
- Ranks and presents optimized dosage options based on predicted drug effects, aiding decision-making.
Online service using cloud-Based Deployment:
- Hosted online for accessibility and scalability, leveraging cloud platforms like Microsoft Azure.
- Enables users to upload data effortlessly and visualize critical features such as IC50, EC50, and dose-response plots.
- Supports analysis of multi-modal data, providing insightful visualization and model evaluation tools.
- The software will be available in an offline version with a parallel processing feature in case of a request from a customer.
