Blog - Biotechnology

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AI in Action E249: Henrik Gehrmann, VP of Engineering at Clear Labs

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Henrik Gehrmann, VP of Engineering at Clear Labs joins host JP Valentine on the AI in Action podcast to discuss their interesting work within Biotechnology, Use cases of the impact they're bringing to customers, how the team is structured for success, interesting projects & what the future holds

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Skills Needed For A Career In Bioinformatics

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Understanding the structure of DNA is the first step to solving health problems. Bioinformatics aims to solve the problem of vast amounts of disparate, untapped biological data to aid medical research. These are some of the skills necessary for a career in Bioinformatics.

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AI in Action E148: Luca Naef, Head of Analytics at VantAI

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Luca Naef, Head of Analytics at VantAI joins host Mike Froggatt on the AI in Action podcast to discuss VantAI’s mission within drug discovery, applying AI to enhance the drug discovery process, challenges they are solving with Healthcare, what he looks for when building his team at VantAI and more

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AI in Action Virtal Meetup November 2020

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How to use Data Science to power business value, AI implementation in Biotech Startups and Understanding public space engagement with an end to end data pipeline were the topics up for discussion as speakers from Germany and Ireland joined us for another fascinating AI in Action meetup

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AI in Action E141: Serghei Glinca, co-founder & CEO at CrystalsFirst

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Serghei Glinca, co-founder & CEO at CrystalsFirst joins host Mark Kelly on the AI in Action podcast to discuss the problem they are solving within Drug Discovery, how they combine technology and data to impact healthcare, challenges to overcome and how AI & Data will continue to shape the industry

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AI in Action E100: Melissa Landon, VP & Chief Strategist at Cyclica

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In our milestone 100th episode of AI in Action, host JP Valentine is joined by Melissa Landon, VP & Chief Strategist at Cyclica to discuss their fascinating work in the Biotech sector, how they are applying Machine Learning and Data Science in their products, what their future looks like & much more

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