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The Future of Cancer Diagnosis: Digital Pathology and AI
This episode of Inference is dedicated to Breast Cancer Awareness Month. I’m talking with Akash Parvatikar – AI scientist and product leader in digital pathology and computational biology. He leads PathologyMap™ at HistoWiz, a digital pathology platform that turns whole-slide images into searchable, analyzable data with AI tools – streamlining research and accelerating insights for cancer and precision medicine.
Digital pathology is a very new field, but an important one, considering that the US is facing a large shortage of pathologists.
*What you’ll learn:*
- What “digital pathology” actually is – and why scanning glass slides changes everything
- Where AI already helps today and where it’s still just a very promising technology
- Why explainability, failure modes, and data standards decide clinical adoption
- What is the real bottleneck for using AI in pathology and diagnosis
- How agentic workflows might enter the lab in pieces first
- A practical timeline for digitization, FDA-type approvals, and hospital rollouts
- The human role that stays
*Big idea:* Digitize first. Validate carefully. Then scale tools that clinicians trust. Telepathology expands access. Good AI here speaks the pathologist’s language. Remember – AI that can’t explain itself in clinical terms won’t ship.
Watch the episode!
*Did you like the episode? You know the drill:*
📌 Subscribe for more conversations with the builders shaping real-world AI.
💬 Leave a comment if this resonated.
👍 Like it if you liked it.
🫶 Thank you for watching and sharing!
*Guest:* Akash Parvatikar, AI Scientist, leading PathologyMap at HistoWiz
https://www.linkedin.com/in/akash007/
https://home.histowiz.com/pathology_map/
📰 Want the transcript and edited version?
Subscribe to Turing Post https://www.turingpost.com/subscribe
*Chapters:*
1:22 - The Current State and Future of AI in Cancer Diagnostics
2:27 - Real-World vs. Aspirational AI Breakthroughs in Patient Outcomes
3:36 - Evolution of AI Usage by Clinicians
4:47 - The Technical Challenges of AI in Pathology
7:22 - The Role of Generative AI in Diagnostics
8:42 - The Potential of Agentic AI Workflows in Pathology
9:50 - Key Bottlenecks in AI for Pathology
12:13 - About the Pathology Map Platform
13:49 - Navigating Regulations in AI-Powered Diagnostics
14:40 - The Human Impact of AI in Cancer Diagnostics
16:40 - What is Digital Pathology?
18:21 - Timeline for Mainstream Adoption of AI in Pathology
19:42 - The "Spotify for Precision Medicine"
20:20 - The Future Role of Humans in AI-Assisted Pathology
21:36 - The Economics of AI in Pathology
22:48 - Concerns and Excitations About the Future of AI in Pathology
24:43 - Book Recommendation
Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.
*Sign up:* Turing Post: https://www.turingpost.com
Follow us:
Ksenia and Turing Post:
https://x.com/TheTuringPost
https://www.linkedin.com/in/ksenia-se
https://huggingface.co/Kseniase
#DigitalPathology #AIMedicine #CancerDiagnostics #PrecisionMedicine #BreastCancerAwareness #EarlyDetection #AIForGood
View all episodes
By Turing PostThis episode of Inference is dedicated to Breast Cancer Awareness Month. I’m talking with Akash Parvatikar – AI scientist and product leader in digital pathology and computational biology. He leads PathologyMap™ at HistoWiz, a digital pathology platform that turns whole-slide images into searchable, analyzable data with AI tools – streamlining research and accelerating insights for cancer and precision medicine.
Digital pathology is a very new field, but an important one, considering that the US is facing a large shortage of pathologists.
*What you’ll learn:*
- What “digital pathology” actually is – and why scanning glass slides changes everything
- Where AI already helps today and where it’s still just a very promising technology
- Why explainability, failure modes, and data standards decide clinical adoption
- What is the real bottleneck for using AI in pathology and diagnosis
- How agentic workflows might enter the lab in pieces first
- A practical timeline for digitization, FDA-type approvals, and hospital rollouts
- The human role that stays
*Big idea:* Digitize first. Validate carefully. Then scale tools that clinicians trust. Telepathology expands access. Good AI here speaks the pathologist’s language. Remember – AI that can’t explain itself in clinical terms won’t ship.
Watch the episode!
*Did you like the episode? You know the drill:*
📌 Subscribe for more conversations with the builders shaping real-world AI.
💬 Leave a comment if this resonated.
👍 Like it if you liked it.
🫶 Thank you for watching and sharing!
*Guest:* Akash Parvatikar, AI Scientist, leading PathologyMap at HistoWiz
https://www.linkedin.com/in/akash007/
https://home.histowiz.com/pathology_map/
📰 Want the transcript and edited version?
Subscribe to Turing Post https://www.turingpost.com/subscribe
*Chapters:*
1:22 - The Current State and Future of AI in Cancer Diagnostics
2:27 - Real-World vs. Aspirational AI Breakthroughs in Patient Outcomes
3:36 - Evolution of AI Usage by Clinicians
4:47 - The Technical Challenges of AI in Pathology
7:22 - The Role of Generative AI in Diagnostics
8:42 - The Potential of Agentic AI Workflows in Pathology
9:50 - Key Bottlenecks in AI for Pathology
12:13 - About the Pathology Map Platform
13:49 - Navigating Regulations in AI-Powered Diagnostics
14:40 - The Human Impact of AI in Cancer Diagnostics
16:40 - What is Digital Pathology?
18:21 - Timeline for Mainstream Adoption of AI in Pathology
19:42 - The "Spotify for Precision Medicine"
20:20 - The Future Role of Humans in AI-Assisted Pathology
21:36 - The Economics of AI in Pathology
22:48 - Concerns and Excitations About the Future of AI in Pathology
24:43 - Book Recommendation
Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.
*Sign up:* Turing Post: https://www.turingpost.com
Follow us:
Ksenia and Turing Post:
https://x.com/TheTuringPost
https://www.linkedin.com/in/ksenia-se
https://huggingface.co/Kseniase
#DigitalPathology #AIMedicine #CancerDiagnostics #PrecisionMedicine #BreastCancerAwareness #EarlyDetection #AIForGood