Welcome to episode 135 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Martin Akerman, CTO and Co-Founder at Envisagenics in New York. Founded in 2014, it is their mission is to reduce the complexity of biomedical data to accelerate the development of innovative therapeutic solutions through RNA splicing analytics and Artificial Intelligence. Over 30 million people in the US suffer from genetic diseases or cancer that could be caused by mutations affecting RNA splicing. 370 human diseases are known to be caused by splicing errors, and more remain to be discovered.
Their breakthrough technology SpliceCore is a cloud-based platform that is experimentally validated to predict drug targets and biomarkers through splicing discovery from RNA-seq data using AI. This is used to identify splicing errors causative of diseases, identify the right drug-targets and develop RNA therapeutics through partnerships and collaborations with Biopharma. Their in-silico RNA therapeutics discovery platform replaces expensive drug-target selection and lead design with efficient computer simulations, decreasing time, cost and failure risk of drug development programs.
In the show, Martin will chat about:
Transitioning from academia into industry
The origins of their inspirational work at Envisagenics
The growth they have enjoyed since setting up the company
How to build a successful Data Science team
What excites him for the future at Envisagenics
Challenges they need to overcome to achieve their goals
How to transition into a career within Healthcare Data
To find out more about Martin and the great work at Envisagenics, check out the website www.envisagenics.com and follow them on Twitter @envisagenics. You can also connect with Martin on Linkedin and follow him on Twitter @makerman30.
What did you make of Martin's podcast? Where do you see the future of AI in the Healthcare industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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