Researchers in the biotech and pharmaceutical industries use MathWorks products for drug discovery, clinical studies, data analysis and modelling throughout the manufacturing process.
MathWorks software provides a flexible and integrated environment of application areas, including:
Pharmaceutical researchers of any programming expertise can do analysis, visualization and modeling by means of both graphical and command line functionality. Command file creation systems allows direct automation of calculation workflows.
Preclinical Research and Development
Throughout drug identification and development processes, MathWorks products can be used for defining and verifying drug objectives and candidates, including identifying and approving targets, identifying, and optimizing potential customers. By leveraging MATLAB® platform, researchers can access:
Preclinical and Clinical Research
Researchers use MathWorks tools to evaluate the safety, dosage, and effectiveness of drugs in preclinical and clinical studies. In a flexible and customizable platform researchers can perform the complete workflow from modelling to analysis, including ADME and non-linear mixed effects (NLME) modelling.
MathWorks pharmakinetic and pharmadynamic (PK/PD) modelling environment SimBiology®, provides simple pointing and clicking tools that render PK / PD modelling analysis accessible for researchers with limited or no programming experience. Researchers can access an industry-tested simulation solution package and integrate PK/PD modelling into other functions such as parallel calculation, statistics and optimization.
While using MathWorks tools for clinical studies, scientist can exploit capabilities such as database integration and report generation to fulfill regulatory instructions.
Typically, pharmaceutical manufacturing includes developing special process control strategies and analytics that is not easy to program in the traditional control systems used by manufacturing facilities.
MathWorks software provides the ability to develop hardware-independent apps for monitoring bulk, continuous processing, and model-based and multivariate statistical process control. This allows scientists and engineers to verify process stage strategy and analytics earlier when it is easier and cheaper to change design. Special abilities include: