Insilicomed
Insilicomed is a biomedical consulting and clinical products company based in La Jolla, California, specializing in advanced medical device simulations, cardiovascular engineering, and personalized medicine. Founded in 2000 by UCSD bioengineering researchers, it aims to accelerate medical device development, reduce costs, and improve patient outcomes through innovative computational analysis and simulation tools.
Industries
Nr. of Employees
small (1-50)
Products
Cardiac computational simulation platform (academic-derived)
A cardiac simulation software platform and derivative modules used to construct patient-specific geometries, run electromechanical simulations, and support device and clinical-product development.
Cardiac computational simulation platform (academic-derived)
A cardiac simulation software platform and derivative modules used to construct patient-specific geometries, run electromechanical simulations, and support device and clinical-product development.
Services
Medical device simulation and analysis
Simulation-based evaluation of implanted and extracardiac devices to quantify stresses, strains, forces and tissue-device interactions and to identify design issues prior to prototype testing.
Patient-specific simulation for precision medicine
Construct personalized cardiac geometries from clinical images and run simulations to support diagnosis, predict therapy response, and optimize treatment options.
Image processing and 3D motion analysis
Single- and biplane image processing, 3D reconstruction and time-varying motion extraction to inform device testing and clinical assessments.
Virtual preclinical testing and prototyping guidance
In silico animal and preclinical test simulations, plus recommendations for prototype design changes and animal testing protocols to reduce costly iterations.
Custom software development for device assessment
Development of custom post-processing modules and software tools to extract device motion, perform biplane calibration, and generate data for bench testing and regulatory submissions.
Machine-learning model development for clinical support
Use of simulation outputs and clinical measurements to develop AI/ML algorithms aimed at improving diagnosis and predicting patient response to therapies.
Medical device simulation and analysis
Simulation-based evaluation of implanted and extracardiac devices to quantify stresses, strains, forces and tissue-device interactions and to identify design issues prior to prototype testing.
Patient-specific simulation for precision medicine
Construct personalized cardiac geometries from clinical images and run simulations to support diagnosis, predict therapy response, and optimize treatment options.
Image processing and 3D motion analysis
Single- and biplane image processing, 3D reconstruction and time-varying motion extraction to inform device testing and clinical assessments.
Virtual preclinical testing and prototyping guidance
In silico animal and preclinical test simulations, plus recommendations for prototype design changes and animal testing protocols to reduce costly iterations.
Custom software development for device assessment
Development of custom post-processing modules and software tools to extract device motion, perform biplane calibration, and generate data for bench testing and regulatory submissions.
Machine-learning model development for clinical support
Use of simulation outputs and clinical measurements to develop AI/ML algorithms aimed at improving diagnosis and predicting patient response to therapies.
Expertise Areas
- Patient-specific cardiac computational modelling
- Cardiovascular device mechanical analysis
- Cardiac image processing and 3D reconstruction
- Precision medicine for heart failure
Key Technologies
- High-order finite element methods
- Curvilinear-coordinate finite elements
- Electromechanical heart simulation
- Patient-specific model libraries