---
title: 'Episode 182: Imogen Fitt And Nathan Buchbinder - Emerging Trends In Pathology: From AI to Precision Medicine'
type: 'episode'
url: 'https://doc.social/episodes/episode-182-imogen-fitt-and-nathan-buchbinder-emerging-trends-in-pathology-from-ai-to-precision-medicine'
show: 'People of Pathology Podcast'
show_url: 'https://doc.social/podcasts/people-of-pathology-podcast'
published: '2024-06-03'
audio: 'https://mcdn.podbean.com/mf/web/3gzt49gjh59mjd2u/Trends_in_Pathology7p28n.mp3'
---

# Episode 182: Imogen Fitt And Nathan Buchbinder - Emerging Trends In Pathology: From AI to Precision Medicine

My guests today are Imogen Fitt from Signify Research and Nathan Buchbinder from Proscia. We discuss emerging trends in pathology, including: The current technology with the most significant impact in the field of pathology has been artificial inte...

## Summary

My guests today are Imogen Fitt from Signify Research and Nathan Buchbinder from Proscia. We discuss emerging trends in pathology, including:

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The current technology with the most significant impact in the field of pathology has been artificial intelligence (AI).

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AI has stirred up imaginations about the future of pathology and has accelerated the timeline for seeing its impact.

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Return on investment in digital pathology has shifted from being a challenge to becoming an opportunity that drives adoption.

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Pathologists are not being replaced by AI but rather augmented by it to make their work easier and more efficient.

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Precision medicine is a key emerging trend in pathology, with a focus on clinical biomarkers, companion diagnostics, and personalized treatment pathways.

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Telepathology plays a crucial role in improving access to pathology services, especially in underserved areas and remote locations.

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Collaboration among digital pathology companies is driven by customer demand for interoperability and seamless integration of technologies.

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The future of pathology technology is likely to focus on precision medicine, clinical biomarkers, companion diagnostics, digital pathology storage, compression algorithms, robotics, and value-based care.

Links for this episode:

[Health Podcast Network](https://healthpodcastnetwork.com/)

[ LabVine Learning](http://bit.ly/labvine)

[Dress A Med scrubs](https://dressamed.com/?rfsn=5044297.cb03eb&utm_source=refersion&utm_medium=affiliate&utm_campaign=5044297.cb03eb)

[Digital Pathology Club](https://digitalpathology.club/digital-pathology-beginners-guide-notification?am_id=dennis985)

[Signify Research](https://www.signifyresearch.net/)

[Proscia](https://proscia.com/)

People of Pathology Podcast:

[Twitter](https://twitter.com/peopleofpath)

[Instagram](https://www.instagram.com/peopleofpath/?utm_source=ig_embed&ig_rid=87f3e0df-5864-418e-a5b3-5fdd260ba05b)