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Welcome to the Talking Precision Medicine podcast. In this series, we sit down with experts on the application of AI and big data analytics in the drug discovery space. Our guests are innovators, business decision makers and thought leaders at the intersection of data and therapeutics. We discuss the promise, practice, challenges, and myths of AI in precision medicine.
This show is brought to you by Genialis, and Rafael, our CEO, is your host. Genialis is focused on data integration and predictive modeling of disease biology to help accelerate the discovery and de-risk the development of novel therapeutics.
Today our guest is David Mittelman. David is CEO of Othram, the first genomics-based forensics company. David is also a serial genomics entrepreneur, and, like Genialis, based in Houston.
In this episode, David explains his vision for disrupting the state of the art in forensics identification using genomics, deep sequencing and machine learning. A bit of a departure from the usual themes around medical applications of data and data science.
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77 ratings
Welcome to the Talking Precision Medicine podcast. In this series, we sit down with experts on the application of AI and big data analytics in the drug discovery space. Our guests are innovators, business decision makers and thought leaders at the intersection of data and therapeutics. We discuss the promise, practice, challenges, and myths of AI in precision medicine.
This show is brought to you by Genialis, and Rafael, our CEO, is your host. Genialis is focused on data integration and predictive modeling of disease biology to help accelerate the discovery and de-risk the development of novel therapeutics.
Today our guest is David Mittelman. David is CEO of Othram, the first genomics-based forensics company. David is also a serial genomics entrepreneur, and, like Genialis, based in Houston.
In this episode, David explains his vision for disrupting the state of the art in forensics identification using genomics, deep sequencing and machine learning. A bit of a departure from the usual themes around medical applications of data and data science.
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