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    Every collaboration is a bespoke arrangement, meticulously designed to discover new compounds and targets in patient relevant disease models.

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    As an extension of your team, MIMETAS provides the expertise and resources needed for effective research and development.

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    We guarantee OrganoReady performance according to specifications, in a fast and convenient sales transaction with a clear fee structure.

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EN

Pancreatic Ductal Adenocarcinoma (PDAC) Modeling and Drug Screening with Organ-on-a-Chip

On-demand Webinar

Pancreatic Ductal Adenocarcinoma (PDAC) is the most common pancreatic cancer and is expected to become one of the deadliest cancer types by 2030, with mortality rates up to 93%. However, this disease remains difficult to predict, detect, diagnose, and treat.

A major contributor to this problem is the complex tumor microenvironment of PDAC, whereby recapitulating the intricacy of the disease in one single in vitro microenvironment is challenging. As such, most in vitro PDAC models have limited translational relevance, as these fail to imitate relevant aspects of the tumor microenvironment. Alternatively, in vivo methods are time- and cost-intensive, pose ethical problems, and in some cases lack cell-interaction with other cell types.

Altogether, there is an urgent need for novel and innovative PDAC modeling systems. A promising platform to effectively model this disease is Organ-on-a-Chip technologies such as the OrganoPlate®. In this webinar, we will discuss current methods used to study PDAC and highlight the advantages of Organ-on-a-Chip technology for modelling bio- and physicochemical features of the disease.


In this webinar, you will learn about:

  • The complex microenvironment of PDAC and the challenges of modeling the disease;
  • Advantages and disadvantages of modeling PDAC with conventional in vitro and in vivo methods;
  • How Organ-on-a-chip technology can be used as translational models that enable phenotypic drug screenings, whilst also supporting the development of novel personalized models used to identify treatment responsive patient subset.

Register Here


Speaker

Marlene Geyer, Ph.D. at MIMETAS





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