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In this episode, the hosts have an intriguing discussion with Dr. Ben Sun, Head of Biomarker Genetics at Biogen. Dr. Sun holds an MD/PhD from the University of Cambridge, providing a view and perspective on data from both research and clinical perspectives. The advantage of his unique background is that it provides a balanced perspective on large-scale population data and genomic data sets used to train computational models for predicting and informing clinical treatment. The conversation touches on the fundamental science as well as the integration of in silico, in vitro, and in vivo methods. Ben also shares insights on decision-making is different in research vs. clinical spaces and on the types of variations that can make it challenging to train and confidently use AI in healthcare.
Subscribe to be notified when future episodes drop.
For full access to the video and transcripts, please visit our Thermofisher page directly at https://www.thermofisher.com/us/en/home/global/forms/life-science/subscribe-speaking-mol-bio-podcast.html
In the meantime, we hope you’ll share our podcast with a friend or colleague that might enjoy it. And as you progress in your own work, we hope you’ll visit the Invitrogen School of Molecular Biology (https://thermofisher.com/ISMB) where you can access molecular biology resources to help you achieve your goals.
Subscribe to get future episodes as they drop and if you like what you’re hearing we hope you’ll share a review or recommend the series to a colleague.
Visit the Invitrogen School of Molecular Biology to access helpful molecular biology resources and educational content, and please share this resource with anyone you know working in molecular biology.
For Research Use Only. Not for use in diagnostic procedures.
By Thermo Fisher Scientific5
33 ratings
In this episode, the hosts have an intriguing discussion with Dr. Ben Sun, Head of Biomarker Genetics at Biogen. Dr. Sun holds an MD/PhD from the University of Cambridge, providing a view and perspective on data from both research and clinical perspectives. The advantage of his unique background is that it provides a balanced perspective on large-scale population data and genomic data sets used to train computational models for predicting and informing clinical treatment. The conversation touches on the fundamental science as well as the integration of in silico, in vitro, and in vivo methods. Ben also shares insights on decision-making is different in research vs. clinical spaces and on the types of variations that can make it challenging to train and confidently use AI in healthcare.
Subscribe to be notified when future episodes drop.
For full access to the video and transcripts, please visit our Thermofisher page directly at https://www.thermofisher.com/us/en/home/global/forms/life-science/subscribe-speaking-mol-bio-podcast.html
In the meantime, we hope you’ll share our podcast with a friend or colleague that might enjoy it. And as you progress in your own work, we hope you’ll visit the Invitrogen School of Molecular Biology (https://thermofisher.com/ISMB) where you can access molecular biology resources to help you achieve your goals.
Subscribe to get future episodes as they drop and if you like what you’re hearing we hope you’ll share a review or recommend the series to a colleague.
Visit the Invitrogen School of Molecular Biology to access helpful molecular biology resources and educational content, and please share this resource with anyone you know working in molecular biology.
For Research Use Only. Not for use in diagnostic procedures.

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