"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

E38: The Virtual Biopsy Revolution with Dr. Tanishq Mathew Abraham (Part 2 of 2)


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Part 2 of Nathan's conversation with Tanishq Mathew Abraham focuses on Tanishq's work with virtual biopsy technology enabled by deep learning. This unique technology has the potential to address a number of important biomedical challenges; in particular, qOBM could help during live tumor and cancer removal surgeries.

Tanishq, a 19-year-old UC Davis grad and one of the youngest people in the world to receive a Ph.D, with a degree in biomedical engineering, is the founder of the Medical AI Research Center (MedARC). In case you haven’t yet listened to part 1, check it out! That episode goes deep on Tanishq’s first published paper: Reconstructions of the Mind’s Eye, which encompasses breakthrough research on reconstructing visual perceptions from fMRI scans into images.


We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.


RECOMMENDED PODCAST:

The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix’s culture deck Patty McCord.

https://link.chtbl.com/hrheretics


The Cognitive Revolution is a part of the Turpentine podcast network. To learn more: Turpentine.co


TIMESTAMPS:

(00:00) Episode Preview

(03:26) Introducing Tanishq’s second paper presenting an AI-enabled biopsy 

(06:39) Diagnostic applications of this unique slide-free and label-free technology (qOBM)

(13:06) Leveraging deep learning, specifically generative adversarial networks (GANs)

(14:55) Sponsor: Omneky

(15:42) Framework for model

(16:22) Challenges of medical data sets

(20:11) Challenges of unpaired image to image translation, addressed with a CycleGAN architecture 

(22:19) What didn’t work

(25:44) Breaking down GAN frameworks

(34:30) Simplifying data to better with the CycleGAN

(36:02) Factors for errors and confusing the model

(39:00) Compute and training requirements

(41:35) How this technology can scale in the near term and improve patient care

(45:53) Tanishq’s relationships with EleutherAI and Stability AI

(47:08) The future-looking focus of MedArc and unexplored opportunities

(49:00) Developments in Medical AI field and interesting applications

(55:11) Early education and AI

(58:00) Would Tanishq get a neuralink?

(1:00:00) Tanishq’s hopes and fears for AI


LINKS:

Paper: Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining https://arxiv.org/pdf/2306.00548.pdf

Authors: Tanishq Mathew Abraham, Paloma Casteleiro Costa, Caroline Filan, Zhe Guang, Zhaobin Zhang, Stewart Neill, Jeffrey J. Olson, Richard Levenson, Francisco E. Robles


TWITTER:

@iScienceLuvr (Tanishq)

@MedARC_AI (MedARC)

@CogRev_Podcast

@labenz (Nathan)

@eriktorenberg (Erik)


SPONSOR:

Thank you Omneky (www.omneky.com) for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off.


MUSIC CREDIT:

MusicLM

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