Categorized analysis of population and subtypes identified by flow cytometry
Dot-plots and histograms from cytometry analysis
Pharmacological Effects from Ex Vivo Assays
Analysis of pharmacological cytotoxic and antiproliferative effects of single drugs over cell populations and subpopulations identified by flow cytometry
Dose-response curve fitting and drug effect normalization
Pharmacodynamic parameters estimation. Area under the curve
Categorical analysis according to different variables: experimental conditions, subpopulations identified by different markers...
Comparative analysis among drugs tested under same experimental conditions
Characterization of population pharmacological effects of drugs through Pharmacodynamic Mixed-Effects Non-linear population models using NONMEM® software. Estimation of population typical parameters and associated inter-patient variability together with model quality parameters and errors estimations.
Innovative Drug Interaction Studies. Drug combinations are critical in many diseases, including cancer. Synergistic drugs allow the use of lower doses in the treatment and therefore the adverse reactions would probably be reduced. Vivia has developed a workflow including different methods like traditional dose dependent indexes, surface modeling (Greco et al., 1995) and the new MuSyC2,3 algorithm to perform a complete drug interaction study.
Innovative workflow using a complete set of synergy calculation methods.
Pre-analysis phase to maximize per well information collection without quality loss. (Single drug & combination doses selection, incubation time…)
Efficacy and cooperativity synergy added to the traditional potency synergy.