AI-MED SIMULATOR©
Clinical Trial Simulation in Silico
At AI-MED Trial, we proudly offer a cutting-edge clinical trial simulation service powered by the Universal Immune System Simulator (UISS).
AI-MED SIMULATOR© leverages the power of in silico clinical trials to drastically reduce the time, costs, and risks associated with traditional clinical trials, while delivering unprecedented accuracy in predicting human immune responses to various medical interventions.
What is UISS?
The Universal Immune System Simulator (UISS) is an advanced computational framework designed to model the human immune system. By integrating simulation engines, optimization techniques, and predictive models, UISS has been successfully applied to the design and verification of novel treatments for many diseases in both preclinical and clinical environments, including pathologies such as:
Cancer (e.g., breast cancer, melanoma, thyroid carcinoma).
Autoimmune disorders (e.g., multiple sclerosis, allergic contact dermatitis).
Infectious diseases (e.g., tuberculosis, COVID-19, influenza H5N1, parasite).
How Does AI-MED SIMULATOR© Work?
AI-MED SIMULATOR© allows the conduction of clinical trials in silico, meaning experiments are performed using virtual patients instead of real human subjects. These virtual patients are built using a comprehensive array of data, including genetic, physiological, and lifestyle information, which creates highly accurate and individualized models.
The simulation begins by defining a conceptual map of the disease or immune response of interest, which is then translated into mathematical models. The UISS platform executes the simulation, allowing researchers to observe and predict the immune system’s behaviour over time. This approach accelerates the development and testing of new treatments while enhancing precision.
Key Features and Benefits
Rapid Simulation. UISS enables millions of immune system interactions to be simulated in a short time, allowing researchers to explore complex immune responses quickly.
Patient-Specific Models. Virtual patients created with detailed data layers provide high accuracy in predicting individual responses to drugs or treatments.
Cost-Effective. In silico trials reduce the financial burden associated with traditional clinical trials, as fewer physical experiments are needed.
Improved Patient Safety. Potential risks or adverse effects are identified in the simulation phase, reducing the likelihood of harm to real patients during actual trials.
By incorporating AI-MED SIMULATOR© into your clinical development process, you can reduce time-to-market, lower development costs, and increase the chances of success for new therapies, all while ensuring patient safety and compliance with regulatory standards.
All Our Services
GenAI-Driven Synthetic Control Arm
GenAI-Driven RWD Acquisition & Analysis
Target Trial Emulation for Drug Repurposing
Realistic and Privacy-guarantees Synthetic Patient Data
Clinical Trial Simulation in Silico
Patient’s Data De-Identifier
GenAI-Driven Remote Verbal Consent
CONTACT DETAILS
info@aimedtrial.com
+39 3482630229