Physiological models- local (NJ) ASoP event

The Use of Physiological, Mechanistic Models in Drug Development and Therapy: Introduction, Case Studies, Impact, and Ideas for Applications

Click on each speaker's name for the presentation slides

Jeff Barrett, PhD, FCP, Research Professor, Lab. for Applied PK/PD, Children’s Hospital of Philadelphia
Dean Bottino, PhD, Head, Modeling and Simulation – Oncology, Roche
Melissa Hallow
, PhD, Senior Modeler, Novartis
Mike Reed, PhD, Vice President, Rosa & Co. LLC
Jim Bosley, PhD: moderator

Physiological, mechanistic models are different than PopPK models that many AsoP members are expert in. What are they? How can they help your company’s research programs? Four experts will discuss specific cases in which physiological models were used, emphasizing the positive program impact and insight delivered. A roundtable, to address your questions, follows.

Abstract

Pharma/Biotech must deliver higher R&D yield (more and better candidates that will show efficacy and safety in human trials) with lower costs (failing flawed drugs early in trials) if research-based drug development is to survive, flourish, and continue to provide new therapies to patients in dire need.

Clinical pharmacology has made great advances in improving the decisions we make using human data. Gaps still exist, though, in support for earlier decisions. For example, we must decide which compounds to promote to human trials before human data are available, and animal models aren’t always predictive. Another gap exists in our ability to understand the huge and growing mountain of data available, especially when we are facing complex diseases such as diabetes, cancer, and cardiovascular derangements. Human variability and differences between individuals, population groups, the sexes, and adults and children make the gap seem even wider.

To face this gap in a rational, scientific way, many companies are now using physiologically-based, mechanistic models to integrate and understand data, and to better predict human outcomes sooner. These models allow more data to be used in a quantitative manner and generate hypotheses that are testable. The models and underlying assumptions that go into them can be documented. Such models account for the complexity of disease, and the variability and uncertainty surrounding subjects and data.

In this session, four experts will summarize challenges, describe approaches used, and report outcomes for a specific challenge faced. Ideas for future application of these models will be shared.

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Event Details

Date: Thursday, February 2, 2012

Location: Bridgewater Manor, 1251 Route 202/206 Bridgewater, New Jersey 08807

- Reception (with cash bar) 5:30-6:45 pm
- Presentation 6:45-8:00 pm
- Dinner 8:00-9:00 pm

Costs
ASoP members receive a discount! Not yet a member? Click here to sign up before you register for this event.

- Event only: $30 ($25 for ASoP members)
- Event and dinner: $55 ($45 for ASoP members)

Notes about the price:

  • As we must give final numbers to the venue on Monday, Jan 30, please sign up before this date. A $10 late fee will be added on to any registration after this date!
  • If you sign up, please show up! If you can’t, please cancel your registration by clicking on the link in your confirmation email - there will be a $2 processing fee for cancellations.
  • There will be no refunds starting 24 hours before the event as we will have already paid the venue. Thanks for your understanding.
ASoP members receive a discount!  Not yet a member?  Click here to sign up before you register for this event.