Applied BioMath (www.appliedbiomath.com), the industry-leader in providing model-informed drug discovery and development (MID3) support to help accelerate and de-risk therapeutic research and development (R&D), today announced the full speaker lineup for their Quantitative Systems Pharmacology (QSP) Summit occurring Thursday, October 12, 2023 in Cambridge, MA.
The speakers at the 6th annual QSP Summit are:
Jane Bai, PhD, Pharmacologist at the U.S. Food and Drug Administration
"Role of Quantitative Systems Pharmacology in Model Informed Drug Development"
Rajat Desikan, PhD, Director, Quantitative Clinical Pharmacology at GSK in collaboration with Tianjing (Kiko) Ren, PhD, Postdoctoral Fellow at University of Buffalo and GSK
"Mechanistic Modeling of Chronic Hepatitis B Infection to Inform Combination Therapies for Maximizing Functional Cure"
Jennifer Fretland, PhD, Senior Director of DMPK at EQRx
"Application of Model-Informed Drug Development in Early Discovery"
Irina Kareva, PhD, Associate Director at EMD Serono
"Minimally Sufficient Experimental Design using Identifiability Analysis"
Lyndsey Meyer, PhD, Researcher at Pfizer
"Developing a QSP Model to Interrogate Mitochondrial Dysfunction for Applications in Heart Failure"
Fereshteh Nazari, PhD, Translational PK/PD Modeler at Takeda
"A QSP Model Describing the Cellular Kinetic-Pharmacodynamic Relationship for a Live Biotherapeutic Product to Support Microbiome Drug Development"
Alex Pellerin, PhD, Director at Seismic Therapeutics
"Preclinical modeling of an IgG cleaving enzyme: A solution to a unique problem"
Peter Sorger, PhD, Otto Krayer Professor of Systems Pharmacology at Harvard Medical School
"Multimodal tissue imaging and machine learning to advance precision medicine"
Weirong Wang, PhD, Senior Scientific Director at Janssen
"Exploring Immune Cell Dynamics with QSP Modeling: Case Studies in SLE and CRS"
"I am thrilled with our speaker lineup," said John Burke, PhD, Co-founder, President and CEO of Applied BioMath. "By gathering this community and learning from one another, we hope to make an impact on developing better therapeutics."
To learn more and register for the QSP Summit, visit https://www.appliedbiomath.com/qsp-summit-cambridge-2023.
About Applied BioMath
Founded in 2013, Applied BioMath's mission is to revolutionize drug invention. Applied BioMath applies biosimulation, including quantitative systems pharmacology, PKPD, bioinformatics, machine learning, clinical pharmacology, and software solutions to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk therapeutic research and development. Their approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through all phases of clinical trials. The Applied BioMath team leverages their decades of expertise in biology, mathematical modeling and analysis, high-performance computing, and industry experience to help groups better understand their therapeutic, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic to increase likelihood of clinical concept and proof of mechanism, and decrease late stage attrition rates. For more information about Applied BioMath and its services and software, visit www.appliedbiomath.com.
Applied BioMath and the Applied BioMath logo are registered trademarks of Applied BioMath, LLC.