Analysis of in vitro data from whole cell systems and dissolution studies is complex, challenging and time consuming. Yet accurate data analysis and informed data interpretation early in drug development is crucial. Existing tools have mainly been developed for broader data analysis and are not specifically designed for in vitro systems. These software tools do not readily support analysis of complex in vitro data, which is key to successfully predicting in vivo behavior with physiologically based pharmacokinetic (PBPK) models and informing critical decisions.
The SIVA Toolkit is a user-friendly platform, specifically designed to assist scientists with analyzing complex in vitro studies. This innovative solution can analyze a broad range of in vitro assays― whole cells, tissue samples and solid dosage forms― to assess the metabolism, transport and dissolution/solubility of drugs. In this webinar, Nikunjkumar Patel and Howard Burt presented several case studies that illustrate how SIVA can help you get the most out of your in vitro data!
講師紹介
Nikunjkumar Patel, Senior research scientist, Certara. Nikunj Patel is a senior research scientist in Certara’s modelling and simulations group where he is leading oral and dermal absorption projects and is a member of the Cardiac Safety Simulator development team. He joined Certara in August 2011 and led the development of the physiologically based IVIVC (PB-IVIVC) module of the Simcyp Simulator and the Pharmaceutics module of SIVA (Simcyp In Vitro (data) Analysis) platform. Before joining Certara, he spent three years at the life science innovation labs of Tata Consultancy Services as a research scientist mainly working on pharmacokinetic/pharmacodynamic modelling and QSAR development for various ADMET properties. During his graduate studies, he used computer aided drug design (CADD) and molecular modelling to identify safe and potent novel anti-diabetic ligands.
Analysis of in vitro data from whole cell systems and dissolution studies is complex, challenging and time consuming. Yet accurate data analysis and informed data interpretation early in drug development is crucial. Existing tools have mainly been developed for broader data analysis and are not specifically designed for in vitro systems. These software tools do not readily support analysis of complex in vitro data, which is key to successfully predicting in vivo behavior with physiologically based pharmacokinetic (PBPK) models and informing critical decisions.
The SIVA Toolkit is a user-friendly platform, specifically designed to assist scientists with analyzing complex in vitro studies. This innovative solution can analyze a broad range of in vitro assays― whole cells, tissue samples and solid dosage forms― to assess the metabolism, transport and dissolution/solubility of drugs. In this webinar, Nikunjkumar Patel and Howard Burt presented several case studies that illustrate how SIVA can help you get the most out of your in vitro data!