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Advanced Research Models Webinar 3: Organ-on-a-Chip and Cerebral Organoids

About this event

Join us for our latest webinar series Advanced Research Models, where we will explore the potential of 3D tissue cultures and their applications in biomedical research, including the latest innovations and challenges in the field. 

Each webinar will include live Q&A with the speakers. 

** Please note, by registering for webinar one, you will automatically receive access to the subsequent webinars in the series. ** 

Organ-On-A-Chip and Cerebral Organoids  

Thursday 23 March at 3 pm GMT/4 pm CET/10 am EST   

It is now possible to have an organ on a chip that recapitulates in vivo behaviour. These 3D microfluidic cell cultures, known as ‘organs-on-a-chip,’ have the potential to replace the need for animal testing in drug development. They can be used to simulate infections, model diseases, and test the toxicity and effectiveness of drugs, as well as the interactions between different drugs. In this webinar, we will explore the various ways in which organs-on-a-chip can be used in drug development and testing.  

Talk 1: Organ-on-a-chip to study the crosstalk between organotypic primary human 3D tissues   

Volker Lauschke, Associate Professor in Personalized Medicine and Drug Development, Karolinska Institutet & Deputy Head of the Margarete Fischer-Bosch Institute of Clinical Pharmacology   

Talk2: In vitro modelling of rare mitochondrial and peroxisomal diseases 

Vivian Gama, Associate Professor, Vanderbilt University  

Previous Webinars in the Series:

3D Tissue Models for Precision Medicine 

Thursday 9 March at 3pm GMT /4 pm CET /10 am EST  

While animal models have been useful for simulating diseases, they can be time-consuming to generate and may not always accurately predict drug efficacy or toxicity in humans. 3D tissue models, such as organoids, are increasingly being used to test the effectiveness and safety of drugs, as well as to study the underlying mechanisms of diseases. 

In this webinar, we will discuss the advantages and limitations of organoid cultures with a specific focus on their applications for functional genomics studies.  

Talk 1: Patient-derived organoids in functional genomics 

Luigi Aloia, Associate Director, Advanced Cell Models, Functional Genomics, AstraZeneca 

Talk2: Accelerating Alzheimer’s drug discovery using mechanism-based 3D human cellular models 

Doo Yeon Kim, Associate Professor, Harvard University 

Organoids In Health and Disease 

Thursday 16 March at 3pm GMT/4 pm CET/10 am EST  

The last decade has produced huge developments in drug discovery. One major hurdle that remains is translating scientific findings into effective treatments. To overcome this challenge, researchers need models that more closely resemble human tissues. 3D cultures, such as organoids, offer an important solution by providing more physiologically-accurate human tissue models that are easier to image than animal models. However, organoids are opaque and spatially resolved therefore advanced imaging techniques are required to visualise them. In this webinar, we will examine how researchers are using the benefits of organoids to develop better models of disease and how they are using ‘instant-volume' imaging to capture organoids in real time. 

Talk1: 3D+time microscopy of organoids: challenges and solutions 

Florian Strohl, Principal Investigator, The Arctic University of Norway 

Talk2: An Engineered Multicellular Stem Cell Niche for Studying Disease, Aging, and Regeneration 

Omid Mashinchian, R&D team lead and senior scientist, Nestlé Institute of Health Science 

Hosted by

  • Guest speaker
    VL G
    Volker Lauschke

  • Team member
    GB T
    Gina Brennan Front Line Genomics

  • Guest speaker
    VG G
    Vivian Gama

Front Line Genomics

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Front Line Genomics is a genomics-focused media company, with a social mission to deliver the benefits of genomics to patients faster. We organise the Festival of Genomics, digital events and webinars. We also produce reports and operate a content-rich website.