Image-Based Simulations
Model complex drug and material release from 2D or 3D images of real-world samples.
In Vitro (In Silico) from Real Data
digiM I2S combines real-world imaging with high-throughput virtual experimentation. This new generation In Vitro (In Silico) method REDUCEs the amount of samples for wet lab in vitro testing, REFINEs method development, and REUSEs existing product and clinical knowledge following FDA’s 3Rs Initiative.
Efficient and Representative Voxel Solver
DigiM I2S numerical solvers are built on segmented images. Pixels and voxels are directly used as computational cells for finite volume CFD or FEA algorithms, eliminating the need for mesh generation or structural simplification techniques. This approach enables fast and accurate calculations of transport and material properties such as phase permeability, mercury intrusion (MICP), material elasticity, conductivity, and more (access to links require digiM I2S registration here ) . Simulations utilizing real image data helps to ensure representativeness and provides a clearer idea of how microstructural properties are impacting performance.
Accelerating Development of Long-Acting Therapies
For pharmaceutical scientists working in long-acting spaces such as injectables and implants, in vitro lab testing can be slow and expensive. digiM offers a suite of simulations tailored to simulate in vitro release of these products using 3D images as inputs. This technique has been applied extensively to implants, microspheres and intrauterine systems helping researchers speed up formulation and manufacturing optimization.
digiM Simulation Ecosystem
While I2S includes simulations for microstructural physical properties including flow, diffusion, geometrical, mechanical, electrical, and thermal , I2S simulation ecosystem further expands to vertical applications including dissolab for dissolution modeling, ssGAN for microstructure modeling, and more. I2S simulations are not confined to high-performance desktops or sophisticated workflows. I2S simulation ecosystem democratizes predictive modeling for every analytical chemists, formulators, and process engineers with faster, more scalable, and collaborative predictions to accelerate product development.
Transform Your Program with Microstructure Science
Get started with a drug product digital twin.
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