Insights and resources for AI in pathology

Webinar | Automating the quantification of chronic changes in kidney histology

Watch this webinar to learn how AI can assist in the challenges of manual and subjective quantification in kidney pathology.

Digital pathology deployment in Veneto: 8 steps to success

What is required for pathology laboratories to go fully digital? Learn how the broadest public healthcare provider in the Veneto region did it.

Webinar | Optimizing the pathology workflow with Aiforia® Breast Cancer Suite

Watch this webinar to learn how AI technology can enhance precision, speed, and diagnostic accuracy in breast cancer diagnostics.

How did the Mayo Clinic choose a vendor for AI in pathology?

What to consider when choosing a vendor for AI in pathology? Learn how the Mayo Clinic evaluated platform providers based on six key criteria.

Webinar | Evaluation of HER2-low and ultralow status of advanced breast carcinomas

Watch this webinar to discover how digital pathology with AI evaluation is a more sensitive method for HER2-low assessment.

Digital pathology and AI: your guide to basics and beyond

This is your guide to digital pathology and artificial intelligence. Learn everything essential, from benefits and challenges to current trends and solutions.

Webinar | PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

Watch this webinar to discover the real-world diagnostic pressure points of PD-L1 TPS testing in NSCLC.

Automating the quantification of chronic changes in kidney histology

Automating the quantification of chronic changes in kidney histology

Presented by:

Dr. Andrew D. Rule, Professor of Medicine, Division of Nephrology and Hypertension, Mayo Clinic
Lucas Stetzik, Principal Scientist, Aiforia Technologies

Optimizing the pathology workflow with Aiforia® Breast Cancer Suite

Webinar

Nov 26, 2025

Optimizing the pathology workflow with Aiforia® Breast Cancer Suite

Presented by:

Richard Doughty, DVM, MD, MSc, Medical Director at Aiforia Technologies
Rute Pedrosa, PhD, Senior Field Application Scientist, Aiforia Technologies

Evaluation of HER2-low and ultralow status of advanced breast carcinomas

Evaluation of HER2-low and ultralow status of advanced breast carcinomas

Anikó Kovács, MD, PhD, Associate Professor, Pathologist, and Lecturer at Sahlgrenska University Hospital
Rute Pedrosa, Senior Field Application Scientist, Aiforia Technologies

Can AI predict patient outcomes in ovarian cancer?

Can AI predict patient outcomes in ovarian cancer?

Anna Laury, MD, PhD, Clinical Researcher at the University of Helsinki
Darshan Kumar, PhD, Director of the Global FAS team at Aiforia Technologies

Aiforia® Create feature: transfer learning

Aiforia® Create feature: transfer learning

Aiforia® Create is the ultimate tool for AI-powered image analysis. Let's dive into one of its most powerful features: transfer learning.

AI stories by Aiforia users: interview with Dr. Johanna Palacios

AI stories by Aiforia users: interview with Dr. Johanna Palacios

Castile and León is digitizing their 14 hospitals and has selected Aiforia’s AI solutions for routine use in clinical pathology practice. Dr. Johanna Palacios, general surgical pathologist at the Burgos University Hospital in Spain, shares about their journey and experiences so far.

Industry-academia collaboration led to a CE-IVD marked AI solution: Aiforia and University of Bern

Industry-academia collaboration led to a CE-IVD marked AI solution: Aiforia and University of Bern

Aiforia and the University of Bern developed a CE-IVD marked AI model for detecting lymph node metastasis from breast, colorectal, and melanoma cases. This is an excellent proof of how collaboration between academia and industry can result in solutions that will improve healthcare.

AI enhances detection of high-risk prostate cancer features

AI enhances detection of high-risk prostate cancer features

Prostate cancer is one of the most frequently diagnosed cancers in men worldwide.1 Despite advances in imaging and biomarker detection, definitive ...

AI stories by Aiforia users: interview with Dr. İlknur Türkmen

AI stories by Aiforia users: interview with Dr. İlknur Türkmen

Dr. İlknur Türkmen, Founder pathologist, and Director of Memorial Pathology from the Memorial Healthcare Group's pathology department in Turkey, shares their clinical implementation journey and experiences with Aiforia.

PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

PD-L1 on the edge: cut-offs, cognitive bias & the case for AI in lung cancer pathology

Presented by:

Richard Doughty, Medical Director, Aiforia Technologies
Rute Pedrosa, Senior Field Application Scientist, Aiforia Technologies

Foundation models in Aiforia

Foundation models in Aiforia

Learn how Aiforia incorporates foundation models into the semantic segmentation, object detection, and instance segmentation workflows in Aiforia® Create, Aiforia’s versatile tool for developing AI models for image analysis in digital pathology.

Creating a veterinary pathology AI model

Creating a veterinary pathology AI model

This whitepaper provides a concrete example of developing a vet path AI model using Aiforia® Create, Aiforia's AI development tool for image analysis. It showcases easy-to-understand steps, from model planning and data collection to annotation, training, and validation.

Developing an AI tool for renal pathology: case Galileo

Developing an AI tool for renal pathology: case Galileo

Presented by:

Vincenzo L’Imperio, Pathologist and Assistant Professor
Darshan Kumar, Customer Success Manager at Aiforia

Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation

Using AI in anatomic pathology: application to interstitial lung disease and liver transplantation

Presented by:

Maxwell L. Smith, M.D., Pathologist at Mayo Clinic
Lucas Stetzik, Senior Scientist at Aiforia

Aiforia® Create: from research AI models to productization for clinical practice

Aiforia® Create: from research AI models to productization for clinical practice

If you are comparing AI development tools for image analysis in pathology, you might encounter many options, ranging from commercial to open-source ...

AI stories by Aiforia users: interview with Dr. Leonie Saft

AI stories by Aiforia users: interview with Dr. Leonie Saft

Leonie Saft, PhD, a Senior Consultant Hematopathologist at the Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital in Stockholm, shares her team's experience in using Aiforia® Create to develop a deep learning algorithm for the automated detection and classification of bone marrow aspirate smears in cytological preparations.

Customer story: Aiforia's solutions at AP-HP

Customer story: Aiforia's solutions at AP-HP

The department of anatomical pathology at the Bicêtre hospital equips itself with Aiforia's diagnostic support solutions. Aiforia's solution supports pathologists in their work on prostate biopsies. The implementation project will be shared by all AP-HP pathology departments analyzing prostate biopsies. Six departments will be included.

AI stories by Aiforia users: interview with Vincenzo L’Imperio and Fabio Pagni

AI stories by Aiforia users: interview with Vincenzo L’Imperio and Fabio Pagni

A research team from Italy built their own AI algorithm with Aiforia® Create, Aiforia’s versatile AI development tool, for assisting in the process of kidney transplantation. We interviewed Dr. L’Imperio and Prof. Pagni to hear more about their journey so far.

AI stories by Aiforia users: interview with Professor Papotti and Professor Duregon

AI stories by Aiforia users: interview with Professor Papotti and Professor Duregon

Professors Mauro Papotti and Eleonora Duregon from the University of Turin used Aiforia® Create to build an AI model for mesothelioma subtyping with reticulin stain. Watch their interview to learn more about AI-powered mesothelioma research.

How can AI-assisted image analysis boost productivity in preclinical research, including GLP?

How can AI-assisted image analysis boost productivity in preclinical research, including GLP?

Presented by:

Richard Haworth, Founder and Director, RosettaPath Ltd.
Richard Fox, Veterinary Pathologist, Aiforia Technologies Plc

Using prognostic AI models in pathology: case colorectal cancer

Using prognostic AI models in pathology: case colorectal cancer

Presented by:

Rish K. Pai, M.D., Ph.D., Pathologist, Mayo Clinic
Thomas Westerling-Bui, Ph.D., CCO, Aiforia Inc

Aiforia® Create feature: multichannel images and analysis

Aiforia® Create feature: multichannel images and analysis

Aiforia®️ Create is the most versatile tool for developing deep learning AI models for image analysis. This article explains its immunofluorescence ...

Aiforia® Create features: object detection, semantic and instance segmentation

Aiforia® Create features: object detection, semantic and instance segmentation

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. The intuitive user interface ensures fast ...

Aiforia® Create feature: validation

Aiforia® Create feature: validation

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. Its cloud-based, collaborative working ...

Best practice guide to ensure quality and long-term success using artificial intelligence to analyze digital pathology slides

Best practice guide to ensure quality and long-term success using artificial intelligence to analyze digital pathology slides

Artificial analysis on digital pathology slides involves applying machine learning algorithms and artificial intelligence (AI) techniques to assist pathologists in diagnosing diseases accurately and efficiently. To ensure reliable and accurate results, it is beneficial to follow best practices for workflow processes and maintain strict quality control measures. This approach helps guarantee long-term success in AI-assisted image analysis.

A message from Professor Angelo Paolo Dei Tos on the value of digital pathology and AI

A message from Professor Angelo Paolo Dei Tos on the value of digital pathology and AI

Professor Angelo Paolo Dei Tos from the University of Padova shares a message on the exciting intersection of digital pathology and AI. Why should you integrate AI into your workflow? Watch the video.

Aiforia® Clinical Suites: Al-powered digital pathology workflow

Aiforia® Clinical Suites: Al-powered digital pathology workflow

Discover how Aiforia Clinical AI models are integrated into a clinical pathology lab.

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases

Digital Pathology: Artificial Intelligence Models in Gastrointestinal Diseases

Presented by: Dr. Roger K. Moreira, MD, Consultant, Assistant Professor, Mayo Clinic, Rochester, MN

Deep learning assisted histopathological markers in Alzheimer’s disease

Deep learning assisted histopathological markers in Alzheimer’s disease

Valentina Perosa, Research Fellow at Massachusetts General Hospital/Harvard Medical School

Harnessing Artificial Intelligence for Higher Quality Data in Preclinical Trials and Translational Research

Harnessing Artificial Intelligence for Higher Quality Data in Preclinical Trials and Translational Research

Tate York, Director of Digital Image and Analysis at NSA Labs

Ideas and Applications for Automated Image Analysis in Veterinary Pathology

Ideas and Applications for Automated Image Analysis in Veterinary Pathology

Presented by:

Dr. Gillian Beamer DVM, PhD, DACVP

Organized by:

The British Society of Veterinary Pathology

How I built 11 AI models in 6 months

How I built 11 AI models in 6 months

Presented by:

Dr. Raquel TaddeiResearch Fellow in Neurology at Harvard/Massachusetts General Hospital
Dr. Lindsey SmithField Application Scientist at Aiforia

Introduction to Aiforia's CE-IVD marked PD-L1 and Ki67 AI models

Introduction to Aiforia's CE-IVD marked PD-L1 and Ki67 AI models

Presented by:

Nelli Sjöblom MD, Consulting Pathologist at Aiforia
Anna Laury MD, Consulting Pathologist at Aiforia

Development and validation of a deep learning AI model in lung cancer

Development and validation of a deep learning AI model in lung cancer

Presented by Liesbeth Hondelink PhD candidate

Virtual Workshop: Practical applications of AI from research to clinical practice

Virtual Workshop: Practical applications of AI from research to clinical practice

Presented by:

Emine Cesmecioglu MD, Senior Research Scientist at Memorial Sloan Kettering Cancer Center
Rish Pai MD, PhD, Consultant Pathologist and Professor of Laboratory Medicine and Pathology Organisation at the Mayo Clinic
Alex Klimowicz PhD, Senior Principal Scientist at Boehringer Ingelheim
Christiane V. Löhr, Dr. med. vet., PhD, Visiting Scientist at Charles River Laboratories
Thomas Westerling-Bui PhD, Director of Scientific Strategy at Aiforia

Annotations tips and tricks

Annotations tips and tricks

How to develop the ground truth for a deep learning AI model

Presented by:

Dr. Aleksandra Zuraw, a board-certified veterinary pathologist
Dr. Lindsey Smith, Field Application Scientist at Aiforia

Aiforia Create

Aiforia Create

Presented by Aiforia

Aiforia Create for Neuroscience

Aiforia Create for Neuroscience

Presented by Aiforia

Aiforia Create User Presentation

Aiforia Create User Presentation

Presented by Aiforia

AI Powered Quantitative Pathology in Clinical and Preclinical Studies

AI Powered Quantitative Pathology in Clinical and Preclinical Studies

Presented by:

Rish Pai MD PhD, Consultant Pathologist and Professor of Laboratory Medicine and Pathology at the Mayo Clinic
Alex Klimowicz PhD, Senior Principal Scientist at Boehringer Ingelheim Pharma

Applying AI in toxicology safety studies: from training to validation

Applying AI in toxicology safety studies: from training to validation

Presented by:

Mark Smith PhD VMD, Veterinary Pathologist at Charles River Laboratories
Thomas Westerling-Bui PhD, Director of Scientific Strategy at Aiforia

Quantitative evaluation of DSS-induced colitis with AI

Quantitative evaluation of DSS-induced colitis with AI

Presented by Dr. Bedard and Dr. Zuraw veterinary pathologists at Charles River Laboratories

Developing an AI model for multiplex analysis of immune subpopulations in breast cancer

Developing an AI model for multiplex analysis of immune subpopulations in breast cancer

Presented by Camille Hurley PhD student at the Royal College of Surgeons in Ireland

AI Unbounded Series: Mastering image analysis with Aiforia

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: superhuman vision

AI Unbounded Series: Mastering image analysis with Aiforia

AI Unbounded Series: Mastering image analysis with Aiforia

Theme: speed

Leveraging AI-driven quantitative pathology to identity novel prognostic histologic signatures in colorectal carcinoma

Leveraging AI-driven quantitative pathology to identity novel prognostic histologic signatures in colorectal carcinoma

Presented by the Mayo Clinic

Accelerating preclinical assessment: using artificial intelligence for the quantitative assessment of alpha-synuclein pathology

Accelerating preclinical assessment: using artificial intelligence for the quantitative assessment of alpha-synuclein pathology

Presented by Lundbeck

Aiforia® Create feature: Annotation Assistant

Aiforia® Create feature: Annotation Assistant

Aiforia® Create is the most versatile tool for developing deep learning AI models for image analysis. It supports the user by automating manual steps ...

How I built my first AI model to assess neuropathology using Aiforia Create

How I built my first AI model to assess neuropathology using Aiforia Create

Presented by Massachusetts General Hospital

Evaluating a novel treatment for ALS with the assistance of AI

Evaluating a novel treatment for ALS with the assistance of AI

Presented by the University of Helsinki

Harnessing the full potential of AI in preclinical analysis

Harnessing the full potential of AI in preclinical analysis

Presented by Experimentica

Cloud-based solutions for telepathology and remote image analysis

Cloud-based solutions for telepathology and remote image analysis

Presented by Aiforia

How to create AI models just by annotating

How to create AI models just by annotating

Presented by Aiforia

Accelerating preclinical research with AI

Accelerating preclinical research with AI

Presented by Charles River Laboratories

Introduction to Velocity

Introduction to Velocity

Presented by Aiforia

AI for histopathological analysis of murine lung tumors

AI for histopathological analysis of murine lung tumors

Presented by MIT

AI in neurotoxicity

AI in neurotoxicity

Presented by Orion

Introduction to AI in Image Analysis for preclinical research

Introduction to AI in Image Analysis for preclinical research

Presented by Aiforia

Introduction to AI in digital pathology

Introduction to AI in digital pathology

Presented by Aiforia

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