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

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Video Description

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).

Bonus: Check out Tanishq's Tedx Talk from age 10.
https://www.youtube.com/watch?v=kq3FopGY6Fc

If you haven’t 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.

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