Pathology News

QC at Scale: Moving Beyond Manual Review in Digital Pathology
2026-07-08 09:00 - 10:00 (Europe/London) | Online
0000Days00Hrs00Min00SecThis webinar will start at 10AM EDT, 7AM PDT, 4PM CET, 9am BST
As digital pathology volumes grow, manual quality control is struggling to keep pace. Slide defects like out-of-focus regions and missed tissue can slip through undetected, reaching pathologists’ queues and undermining diagnostic confidence, turnaround times, and AI readiness.
This webinar explores how AI-powered automation is transforming lab QC: catching issues early, reducing rework, and ensuring only the highest-quality images reach your pathologists.
What you’ll learn

Why manual QC breaks down at scale — and the hidden costs when it fails
How automated QA improves speed, consistency, and workflow efficiency across your lab
Why image quality is the foundation of every successful digital pathology and AI strategy

This webinar is ideal for…
Lab managers, QC staff, researchers and anyone involved in managing whole slide imaging workflows and their quality control
Register NowSpeaker
Katherine LatimerProduct Manager Digital PathologyBarco
Kat Latimer holds a Master of Engineering in Biomedical Engineering from Colorado State University and a BS in Biochemistry from the University of New Mexico. Her graduate research focused on tissue engineering and end-to-end medical device development. After spending several years at Indica Labs, she currently leads Barco’s digital pathology product efforts.

NPIC Digital Pathology Webinar Series - Innovation into Practice - NPIC Digital Pathology Platform and Deployment Strategy
2026-07-14 03:00 - 04:00 UTC
0000Days00Hrs00Min00SecThe National Pathology Imaging Co-Operative (NPIC) continues an exciting new series of free educational webinars on digital pathology topics.​

Learn first-hand about hot topics in clinical digital reporting, the digital laboratory, IT and informatics and get a chance to pose your questions to the experts! ​
Suitable for pathologists, biomedical scientists, informatics and IT professionals, managers and industry representatives.

In this session:

Find out about the NPIC technical platform for digital pathology!​
Hear about the opportunities and challenges of digital pathology deployment, and the NPIC approach.​
Pose questions to our speakers in our live Q and A session!

Register NowSpeakers:
Ian Mason
Programme Head for Digital Deployment & Business Services​

Waseem Akhtar
Portfolio Delivery Manager

Dr Bethany Williams
NPIC Knowledge and Skills Lead

TIA Centre Seminar Series – A Multimodal and Temporal Foundation Model for Virtual Patient Representations at Healthcare System Scale
2026-07-27 14:00 - 15:00 (Europe/London)
0000Days00Hrs00Min00SecThe Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.
This seminar features Andrew Zhang from Harvard Medical School, Boston, USA.
Abstract
The field of medical AI has traditionally focused on isolated clinical domains, such as chest X-rays or pathology slides. These data modalities have the advantage of being plentiful, relatively standard in format, and information dense. But by looking at only individual snapshots of a patient’s medical journey, are we missing the forest for the trees? Outside of the world of curated medical imaging datasets, there are petabytes of clinical data existing in the electronic health record (EHR) as unstructured or semi-structured longitudinal events. These include diagnoses, symptoms, lab tests, clinical reports, medications, and more, each tied to a specific timepoint in the course of a patient’s healthcare journey. With our capacity to train increasingly larger and more powerful AI models, the next frontier is to build a virtual patient: a model that understands and makes predictions on the entire EHR. In this talk, I will introduce APOLLO, a major effort towards modeling whole patients: advancing the state of the art not only in data size (25 billion events from 7.2 million patients) but also in data breadth (structured data, clinical text, and images) and downstream capabilities. To evaluate the potential of this model, we created a large-scale benchmark consisting of over 300 patient retrieval and clinical forecasting tasks and showed that APOLLO patient embeddings generalize across medical domains and encode both retrospective and prognostic information about each patient. APOLLO has exciting applications not only in disease risk prediction but also as a multimodal medical search engine and unlocks the possibility of biomarker discovery from the entire EHR.
Register NowBio
Andrew Zhang is a 4th-year PhD student in the Harvard-MIT Health Sciences and Technology Program, working in the lab of Dr. Faisal Mahmood at Harvard Medical School. Prior to his PhD, Andrew studied cell biology and computer science at Harvard. His work centers on advancing self-supervised representation learning at multiple biological and temporal scales: from encoding a single pathology slide to encoding entire longitudinal medical histories.

Meet the Next Generation of Concentriq: Pathology’s AI Platform for Precision Medicine
2026-07-28 17:00 - 18:00 (Europe/London)
0000Days00Hrs00Min00SecThis webinar will start at 12pm EST, 5pm BST, 6pm CET, 9am PST
Diagnostic labs are being asked to do more than ever. Drug development teams are racing to find the right patients for increasingly complex therapies. The old playbook, a pathology platform with AI bolted on the side, can’t keep up.
Proscia built the next generation of Concentriq to be a different kind of platform. Concentriq Fifth Generation introduces intelligence that draws from clinical and scientific context to support experts throughout the decisions that define drug discovery and shape the future of diagnosis.
Join Proscia for the official first look. We’ll demo the platform live, hear from customers on the impact, and walk through how Concentriq helps labs deliver high-volume case reviews and R&D teams advance their programs.
In this session:

How Concentriq Fifth Generation brings intelligence into everyday case review and scientific workflows
What pathologists, lab leaders, and scientists can accomplish that wasn’t possible before
Real-world examples of intelligence accelerating case review, lab operations, biomarker discovery, and clinical development
A live look at Concentriq Fifth Generation in action

Whether you’re a pathologist, scientist, operations leader, or precision medicine leader, this is the session that changes how you think about what your pathology platform can do for you.
Register NowSpeakers
David West
Chief Executive Officer
Proscia
Coleman Stavish
Chief Technology Officer
Proscia
Dr. Cherub Kim
Director, Medical Affairs and Clinical Informatics Lead
Labcorp
Dr. Daniel Roberts
Medical Director of Digital Pathology
Cleveland Clinic
Dr. Amanda Hemmerich
Global Director of Digital Pathology Innovation
IQVIA Laboratories

Sneak Peek Into the New Features of HALO®, HALO AI, and HALO Link 4.4
2026-09-24 16:00 - 17:00 (Europe/London)
0000Days00Hrs00Min00SecThis webinar will start at 8:00 PDT, 11:00 EDT, 16:00 BST
Learn about the exciting new features in the 4.4 versions of HALO, HALO AI, and HALO Link!
Summary
Join us for an exciting webinar highlighting the latest improvements in HALO®, HALO AI, and HALO Link coming in version 4.4.
HALO 4.4 introduces enhanced fluorescent channel management, including channel sorting and grouping as well as new black/white adjustment controls, settings that can be saved and applied across images. The new Object Data Gallery provides high-resolution views of a random sample of objects, making object-level QC faster and easier.
HALO AI 4.4 introduces new AI architectures: UNET++ for advanced masking classifier development and EfficientNet for the next generation of Phenotyper V2. Mixed-precision training and inference reduce GPU memory usage while accelerating model development and execution. Annotation workflows are also improved through a more compact annotation format, reducing database impact and export file sizes. Updated platform libraries further enhance performance, stability, and compatibility.
HALO Link 4.4 delivers improved study tree navigation, a new “Save As” option for Figure Maker, improved Diagnostic Monitor visualization, and other quality-of-life enhancements.
The 4.4 release includes updates to the Multiplex IHC and Highplex FL modules, including adjustable membrane thickness and ability to control post-processing on the module side for embedded AI segmentation modules. Additional enhancements include threshold assistance for brightfield images and new object data outputs for nuclear and cellular morphology, signal OD/intensity heterogeneity, and Haralick texture features. Highplex FL also delivers improved performance when users autofill dyes along with faster addition and removal of dyes, even for images with hundreds of channels.
Learning Objectives

Learn about the improved fluorescent channel management in HALO, including channel sorting and grouping.
Learn about the newly introduced Object Data Gallery feature for easier QC of object results.
Learn about the newly available AI architectures for masking classifiers and Object Phenotyper V2.
Learn about the numerous quality-of-life features in HALO Link.

Register NowPresenter
Dr. Noemi Kedei
Director of Product, Life Sciences
Indica Labs
Noemi Kedei earned an MD degree from University Medical School of Debrecen, Hungary. She did her postdoctoral training and worked later as a staff scientist in the Laboratory of Cancer Biology and Genetics, NCI. Her research focused on identifying mechanisms involved in the differential effects of natural compounds and their engineered derivatives acting on protein kinase Cs (PKCs), validated targets for anti-cancer treatment. In 2018 she joined the Collaborative Protein Technology Resources (OSTR, CCR, NCI) core facility to implement a variety of spatial protein and transcriptomics technologies, and lead related operations as services to NCI investigators. Noemi provided expertise for development of project based customized antibody protein panels for detection of 40-60 protein targets at single cell level in tissue sections using the CODEX/Phenocycler fusion technology, and ensured optimal and efficient instrument use. In addition, she advised and supported users on tools for quantitative image analysis combining different AI-enabled HALO modules and NCI developed pipelines for downstream analysis. Noemi joined Indica Labs as Director of Product – Life Sciences in May, 2025.
