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CN Bio adds computational modelling capabilities to ADME services for enhanced bioavailability profiling

CN Bio, a leading provider of Organ-on-a-chip (OOC) Systems and solutions that accelerate drug discovery and development workflows, today announced the expansion of its Contract Research Services (CRS) with new PhysioMimix® computational modelling tools. New PhysioMimix in silico tools unlock deeper functional insights from existing assays, advancing translation of MPS data to predict human ADME behavior End-to-end support from experimental design to data interpretation These capabilities have been developed to enhance Absorption, Distribution, Metabolism and Excretion (ADME) profiling, for accelerated drug discovery and development workflows. This launch represents the Company’s new in silico tools available to customers and is designed to enhance data generation from its range of predictive in vitro tools – unlocking deeper insights into key ADME parameters, including human bioavailability, and enabling more confident in vitro to in vivo extrapolation (IVIVE). CN Bio’s computational tools combine the insights gained from microphysiological system (MPS) assays with powerful mathematical models. These tools complement the Company’s existing bioavailability assay based on its proprietary dual-organ Gut/Liver model, available via the CRS or as an off-the-shelf kit. The derived data is fully compatible with physiologically-based pharmacokinetic (PBPK) frameworks and can be used to extract additional data from preclinical studies, providing functional predictions of how compounds interact with human biology. By working with CN Bio’s CRS team, customers gain access to broad support and expertise from both MPS and computational modelling specialists. The team collaborates closely with customers throughout the process, from ensuring robust study design to translating experimental data into meaningful ADME predictions. Raw data generated from projects is also translated into an easy-to-interpret format, suitable for supporting go/no go and drug dosing decisions.

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