SelectScience InterviewsClinical Diagnostics

ADLM Past President Dr. Paul Jannetto on AI, automation and the future of laboratory medicine

15 Sept 2026
Olivia Long
Editorial Team

The future of laboratory medicine is being shaped by the convergence of data, automation, and artificial intelligence. Speaking at ADLM 2026, Dr. Paul Jannetto, Past President of ADLM, explores the innovations advancing diagnostics, from molecular testing to digital pathology, and discusses how laboratories can harness new technologies to improve efficiency, address workforce challenges, and deliver better outcomes for patients.

This interview was recorded at ADLM 2026, Anaheim, California.

Video transcript

Show transcript

As I look across our ADLM expo floor, there are a ton of exciting and emerging technologies that are coming out, and they range from mass spectrometry to molecular diagnostics to new Alzheimer’s diagnostics and biomarkers, and also cancer screening.

The technology that I think is going to have the greatest impact on laboratory medicine is data analytics and AI.

As you know, the laboratory develops a lot of data. And by using data analytics and AI, not only are we going to be able to improve operational efficiency, but also the accuracy of diagnostic care for our patients.

While there are rapid advances in automation, AI, and digital pathology, I think all three of those are actually going to impact us positively.

AI, unfortunately, takes a lot of time to develop, validate, and verify, and also, once you start to implement it, requires post-implementation monitoring. So that's going to take a little bit longer.

Digital pathology, while scanning can be done quickly, still requires the development of tools and AI to actually validate and use it effectively.

So, therefore, I probably think automation is going to have the most immediate impact. It's also where laboratories probably have the most expertise because there's already automation going on in laboratories today. And so that's going to be able to be implemented and continue to help augment the workforce shortage we have today.

While the ADLM2026 meeting showcased hundreds of technologies, what's really made me confident that we're moving in the right direction is that it's being led by laboratory professionals.

And laboratory professionals know how to properly evaluate and test out this new technology prior to implementing it. So, we know how to validate it, earn trust, and ensure responsible use of it as we move forward to positively impact patient care.

What does this video cover?

Dr. Paul Jannetto, ADLM Past President 2025-2026

Dr. Paul Jannetto, ADLM Past President 2025-2026

Topics covered in this video

  • How is ADLM 2026 shaping the future of laboratory medicine with AI and automation?
  • What role does data analytics play in improving diagnostic accuracy in laboratory medicine?
  • How can clinical laboratories use automation to address workforce shortages effectively?
  • What emerging diagnostics, from molecular testing to digital pathology, are showcased at ADLM 2026?
  • How are laboratory professionals ensuring responsible implementation of AI in diagnostics and pathology?

Tags

Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.ADLMClinical Laboratory AutomationCancer DiagnosticsThere are a wide variety of diagnostic tests for cancer available, and this range continues to expand as our knowledge of cancer improves. Current diagnostic methods include biopsy, imaging and blood tests for known biomarkers. New methods in research development include liquid biopsies and cancer breathalyzers.Alzheimer's researchAlzheimer's disease is a neurodegenerative condition characterized by progressive memory loss and cognitive decline. Research focuses on understanding the molecular and cellular mechanisms of the disease, as well as developing effective treatments and diagnostic tools. Browse our peer-reviewed product directory to find the best Alzheimer's research products, compare options, check reviews, and get pricing directly from manufacturers.

Frequently asked questions

Show frequently asked questions

How are data, automation, and artificial intelligence shaping the future of laboratory medicine at ADLM 2026?

Data, automation, and artificial intelligence are converging to shape the future of laboratory medicine by advancing diagnostics and improving efficiency. At ADLM 2026, Dr. Paul Jannetto highlights how these technologies support innovations across laboratory workflows, helping labs address workforce challenges and ultimately deliver better outcomes for patients.

What innovations in diagnostics, from molecular testing to digital pathology, does Dr. Paul Jannetto discuss at ADLM 2026?

At ADLM 2026, Dr. Paul Jannetto discusses innovations in diagnostics that span molecular testing and digital pathology. These advances demonstrate how new technologies are transforming laboratory medicine, enabling more sophisticated diagnostic capabilities and supporting laboratories in improving efficiency and patient care.

How can clinical laboratories harness new technologies to improve efficiency and patient outcomes?

According to the ADLM 2026 presentation, laboratories can harness new technologies — such as automation, data-driven tools, and artificial intelligence — to streamline processes, address workforce challenges, and enhance diagnostic capabilities. By adopting these innovations, labs can operate more efficiently and deliver better outcomes for patients.