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Finding Genius Podcast

Characterizing Cancer: Quantgene's Jo Bhakdi Talks Cutting-Edge Data Analysis for Early Detection

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.41K Ratings

🗓️ 10 August 2020

⏱️ 46 minutes

🧾️ Download transcript

Summary

Returning guest Jo Bhadi discusses using new platforms and technologies to predict cancer probability as well as what he's learned about how cancer evolves. He also discusses how Quantgene seeks to serve its customers.

He addresses

  • How Quantgene uses the human genome sequence, artificial intelligence, liquid biopsies, and other technology platforms to identify cancer patterns;
  • How they've put together a monthly subscription turnkey service for early cancer detection; and
  • How cancer itself develops and how they approach detection with this layering of different types of information to achieve a specificity of detection above 90%.

Jo Bhakdi started Quantgene in 2015 at a UC Berkeley Lab with a goal of early disease detection. The company uses quantitative science for a new level of precision. They started in cancer detection spaces using cell-free DNA sequencing with what is known about the human genome sequence. They saw a tremendous opportunity opening up based on new technology platforms, sequencing, and AI recognition algorithms.

In a nutshell, they pursued how to look at cell-free DNA shed by cancer in the bloodstream and recognition patterns to identify the 15 most deadly cancers. They sell their services directly to patients but include physicians and genetic counselors in the process. 

He explains their business model in further detail but also covers the complications of detecting and understanding cancer progression, from the heterogeneity of tumors to advantages of cell-free DNA sequencing compared to tumor biopsies. He explains the systemic insight into cancer a liquid biopsy offers.  He describes other limitations of tumor biopsies and how the question of heterogeneity of a tumor is surprisingly complex.

In fact, he adds that the whole concept of quantifying tumor heterogeneity is a very new concept. He describes many characteristics of cancer and its evolution in more detail and then addresses how Quantgene layers many degrees of information, including medical and genetic history, to produce a highly precise probabilistic model. 

For more about the company, see quantgene.com. To find out about the direct-to-consumer service, see chooseserenity.com.

Available on Apple Podcasts: apple.co/2Os0myK

Transcript

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0:00.0

Forget frequently asked questions common sense common knowledge or Google how about advice from a real genius

0:06.8

95% of people in any profession are good enough to be qualified and licensed 5% go and beyond. They become very good at what they do.

0:15.0

But only 0.1% are real Jesus.

0:18.3

Richard Jacobs has made it his life's mission to find them for you.

0:22.3

He hunts down and interviews geniuses in every

0:24.7

field, sleep science, cancer, stem cells, ketogenic diets and more. Here come the geniuses.

0:30.1

This is the Finding Genius Podcast.

0:33.0

That is Richard Jacobs.

0:35.0

Hello, this is Richard Jacobs with the Finding Genius Podcast.

0:41.0

I have a returning guest from a while ago, Joe Bakke.

0:44.2

He's the founder of a company called Quant Gene.

0:46.3

And we had a really great talk last time.

0:48.2

We talked about cancer and tumors and how the cells are not just one cell with one set of genes they're very heterogeneous

0:55.2

and how this can help improve cancer treatments and I wanted them back because as I told

1:00.5

them offline I figured he's very hard at work innovating and figuring out new things in the world of cancer and with other diseases.

1:07.5

So I want to welcome you back, Joe. Thank you for coming.

1:10.0

I Richard, it's a pleasure to be back.

1:12.0

Yeah. Well, for listeners that may not know, first, tell me about quanchine.

1:16.7

What's the premise of the company?

1:18.0

Yeah, quanchine was founded in 2015 at UC Berkeley,

1:21.8

and we started in the cancer detection space using cell free DNA.

1:27.0

We just saw a tremendous opportunity opening up based on some new technology

...

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