Duration: 25 minutesVirtual Tumour is an in silico PK/PD platform used to determine optimal doses, schedules and combinations for oncology candidates in preclinical development. Optimising drug administration can also be a key component of the regulatory aspects that affect every stage of the preclinical development process. Dr Eric Fernandez, Senior Simulation Scientist, will present a brief overview of how the technology works. He will show how the technology saves time and money by reducing animal experimentation and also how the potency of combinations can be improved. Several case studies will be presented, including usage of chemotherapy, biologics and irradiation.
Duration: 18 minutesDrugCARD collates curated publicly available pre-clinical and clinical drug regimen data into one easily searchable tool. It also contains further clinical data and analysis which is only available through the collaboration with Pharmacometrics. DrugCARD® currently contains clinical data for over 160 drugs used in over 700 regimens. Standards of care, novel targeted small molecule agents and biologics are all represented. Using DrugCARD®, researchers, who will access the database on a subscription basis, will be able to rapidly compare regimen data and outcomes across a number of studies, saving them time and effort when literature-hunting. The Pharmacometrics data also adds pre-clinical and clinical modelling information not available elsewhere.
Duration: 46 minutes
The in silico cardiac toxicity model is used to determine the effects of drugs on:
- the dog action potential duration;
- the rabbit left ventricular QT interval;
- the torsadegenic potential in humans.
The model takes as input routinely measured high-throughput screening data such as those produced by PatchXpress and IonWorks.
Dr Hitesh Mistry, will present a brief overview of the current models in the literature before presenting the Physiomics model. He will show the performance of the Physiomics model against current existing models in the literature.
Finally there will be a brief overview on how the model will be extended.
Duration: 16 minutes
Immunotherapy has recently developed into a highly active area of anticancer drug development. While early results for monotherapies are promising, the real potential of immunotherapy agents could be in combining them together or with other anticancer treatments. However, there is currently no rational basis on which to select optimal dosing regimens or combination schedules, and a clear unmet need for predictive tools to aid this process.
In this webinar we will describe our recent development and application of the VT technology for modelling preclinical efficacy of immune-checkpoint blockers, with a focus on agents targeting the PD-1/PD-L1 axis. The VT platform has been extended by the addition of an immunotherapy module, which captures the mechanisms by which the immunotherapy activates the antitumor immune response and synergizes with conventional anticancer therapies. Through a preclinical case study derived from the literature, we will demonstrate that the extended VT can be applied to model the efficacy of an anti-PD-L1 antibody/irradiation combination in syngeneic mouse xenografts.
This enhanced VT capability represents the first step towards a ground-breaking tool for optimizing dosing and scheduling of immunotherapy, both alone and in combination with conventional anticancer therapies.
Duration: 37 minutesThis webinar will review the clinical Virtual Tumour model used to predict optimal doses and schedules of combination therapy. The translational capabilities of the Physiomics' Virtual Tumour Clinical will be demonstrated in the following case study: prediction of the changes in tumour size in both arms of a metastatic melanoma phase 2 study using only preclinical xenografts data and clinical PK.
Duration: 13 minutes
EasyAP is an online simulation platform, which has been developed to help cardiac safety assessment of pharmaceutical drug candidates. EasyAP currently uses the activity against up to 3 ion channels to simulate action potential profiles and calculate action potential duration values, based on literature models. Importing compound data, as well as exporting simulations and results, is easy and secure. Further, EasyAP provides researchers a convenient way to freely organise their compounds in multiple project directories.
Dr Eric Fernandez will do a live demo of EasyAP, using as an example several drugs associated with varied risks of Torsade de Pointes.