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HistoTalks: NSH Podcasts

HistoTalks: NSH Podcasts

2026 Keynote Preview with Dr. Quincy Gu

Aug 3, 2026 · 20 min · 10 segments

NSH President David Krull sat down with Dr. Quincy Gu to discuss his upcoming keynote at the NSH 2026 convention, Intelligent Histology - The Future of Predictive, Explainable, and Multimodal…

NSH President David Krull sat down with Dr. Quincy Gu to discuss his upcoming keynote at the NSH 2026 convention, Intelligent Histology - The Future of Predictive, Explainable, and Multimodal Computational Pathology, which be given on Sunday, September 27th in San Antonio. They discuss the role AI in the histology lab, and what it means for patients and patient care teams. Learn more about this year's convention at histoconvention.org.

NSH President David Krull sat down with Dr. Quincy Gu to discuss his upcoming keynote at the NSH 2026 convention, Intelligent Histology - The Future of Predictive, Explainable, and Multimodal…

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Speakers: Quincy GuGuestDave KrullHostConnieHost

Top entities: Artificial intelligence×53 National Society for Histotechnology×10 San Antonio×4 explainable AI Mayo Clinic×2

Show signals: SuitabilitySafeBiasNot politicalAudience≈4k followers

AI Across Histology & Spatial Omics2:52 – 4:48

2:52

Thanks for sharing all of that.

2:54

There's certainly a lot to unpack in everything that you just mentioned.

2:59

And if we start back with the histology samples, right, that's what we're working with for the most part, FFPE tissue samples and maybe some frozen as well spread in there.

3:13

And we're doing immunochemistry and multiplexing, immunofluorescence.

3:19

And now more recently, we're getting into spatial biology, the spatialomics.

3:24

And how do you see AI touching each of those areas from the basic IHC stain all the way to the high complexity of spatialomics technology?

3:37

Yeah, that's a very good question to me, thinking AI is actually going to help me in two ways.

3:45

One is actually helping to making the workflow more effective, and the field has the concerns that AI is going to replace any of the technicians, even the pathologists.

3:55

To my perspective, it's not going to happen.

3:58

It's going to be assessing tools for each of the expertise in the lab.

4:04

So when we're talking about AI going to help with the slides and preparations, there is a lot of the labor-intensive workflows required now for the quality control, or AI can be a good plus.

4:17

It's actually using the manual efforts of that.

4:22

So then also we actually moving to the new field with the specials, they are going to help you to actually building a more, you know, to analyze those high throughput data and actually find the new patterns, the new signals.

4:35

They're going to help the scientists and the technicians and also the pathologists to actually maybe find out the new cure biomarkers.

4:44

And that's something going to benefit for the whole community for the patient care.

Artificial intelligenceEntityProfessional field
96%53 mentions
National Society for HistotechnologyOrganizationProfessional association
88%10 mentions
San AntonioCityCity in Texas
79%4 mentions
explainable AIEntity
71%1 mention
Mayo ClinicCompanyMedical center in Rochester, Minnesota
63%2 mentions
University of MinnesotaCollege or UniversityLand-grant university in Minneapolis, Minnesota
54%2 mentions
Health Insurance Portability and Accountability ActBook
46%2 mentions
KeynoteEntity
38%1 mention
PythonBrandHigh-level programming language
29%2 mentions
ChatGPTSoftware ApplicationSoftware
21%3 mentions
Doctor of PhilosophyEntityDegree
13%1 mention
PyTorchSoftware ApplicationComputer application
4%1 mention

Data PrivacyHealth > Healthcare > Patient Care > Ethics
AI in MedicineEducation > Professional Development > Healthcare Training
Workshops and ResourcesEducation > Professional Development > Healthcare Training > AI in Medicine
HealthcareHealth
PathologyHealth > Healthcare
Data AnalyticsTechnology > Artificial Intelligence > Machine Learning
Artificial IntelligenceHealth > Healthcare > Medical Technology
EthicsHealth > Healthcare > Patient Care
DiagnosticsHealth > Healthcare > Medical Technology > Artificial Intelligence
HistologyHealth > Healthcare > Pathology
Patient CareHealth > Healthcare
Tissue AnalysisHealth > Healthcare > Pathology > Histology
Healthcare TrainingEducation > Professional Development
Medical TechnologyHealth > Healthcare
Professional DevelopmentEducation
Health
Clinical ApplicationsTechnology > Artificial Intelligence > Machine Learning > Data Analytics
Education
Technology
Artificial IntelligenceTechnology
Machine LearningTechnology > Artificial Intelligence

AI Across Histology & Spatial Omics2:52 – 4:48

2:52

Thanks for sharing all of that.

2:54

There's certainly a lot to unpack in everything that you just mentioned.

2:59

And if we start back with the histology samples, right, that's what we're working with for the most part, FFPE tissue samples and maybe some frozen as well spread in there.

3:13

And we're doing immunochemistry and multiplexing, immunofluorescence.

3:19

And now more recently, we're getting into spatial biology, the spatialomics.

3:24

And how do you see AI touching each of those areas from the basic IHC stain all the way to the high complexity of spatialomics technology?

3:37

Yeah, that's a very good question to me, thinking AI is actually going to help me in two ways.

3:45

One is actually helping to making the workflow more effective, and the field has the concerns that AI is going to replace any of the technicians, even the pathologists.

3:55

To my perspective, it's not going to happen.

3:58

It's going to be assessing tools for each of the expertise in the lab.

4:04

So when we're talking about AI going to help with the slides and preparations, there is a lot of the labor-intensive workflows required now for the quality control, or AI can be a good plus.

4:17

It's actually using the manual efforts of that.

4:22

So then also we actually moving to the new field with the specials, they are going to help you to actually building a more, you know, to analyze those high throughput data and actually find the new patterns, the new signals.

4:35

They're going to help the scientists and the technicians and also the pathologists to actually maybe find out the new cure biomarkers.

4:44

And that's something going to benefit for the whole community for the patient care.

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