When: Friday, June 27, 2025
Where: Main Auditorium
Don’t miss the AI Innovation Pitch, a groundbreaking session at ECDP2025 that puts the spotlight on the most exciting developments in AI for pathology and beyond. In this dynamic format, AI companies will present their state-of-the-art
solutions for research and clinical applications in concise, impactful 5 minute presentations.
This session is a must-attend opportunity for innovators looking to make a mark at the forefront of pathology’s digital transformation. With a platform integrated into the scientific program of one of the most prestigious congresses in the
field, participants gain unparalleled visibility and access to an engaged audience of global experts, researchers, and clinicians.
Please check the detailed program below:
14:00
PathAI: “AIM-TumorCellularity: AI-Driven Tumor Sufficiency Assessment Across Tumor Types”
AIM-TumorCellularity (AIM-TC) is an AI-powered tool from PathAI designed to enhance tumor sufficiency assessments for molecular diagnostics. Available on PathAI’s AISight platform, AIM-TC provides single-cell resolution insights directly
from H&E-stained whole slide images, supporting pathologists in detecting tumor-rich regions and accurately estimating tumor cellularity—key factors for molecular testing eligibility.
AIM-TC works across multiple tumor types, including NSCLC, breast, colon, pancreas, prostate, and more. It identifies tumor areas, classifies cell types, and outputs quantifiable metrics like cancer area, percent tumor nuclei, and total
tumor cells. These insights improve pre-analytical decision-making, reducing failure rates in NGS due to insufficient tumor content.
In validation studies at the University Hospital Zurich, AIM-TC showed strong correlation with genomic estimates of tumor purity, outperforming manual assessments. It supports both high-throughput laboratories and academic centers aiming
to streamline molecular workflows with precision and reproducibility.
14:05
Aiforia: “From Clinical Research to Global AI deployments of Aiforia AI solutions”
Aiforia equips pathologists and scientists in clinical, pre-clinical, and academic labs with powerful deep learning AI and cloud-based technology. Aiforia’s solutions strive to increase the speed, accuracy, and consistency of analyzing
large and complex medical images, especially in pathology. Aiforia’s mission is to transform pathology image analysis with AI, enabling better care for each patient.
14:10
Indica Labs
Indica Labs has developed a suite of AI-based software products designed to be deployed in a clinical digital pathology workflow and launched through our HALO AP® enterprise digital pathology platform. The products are designed to bring efficiency and quality gains across many current bottlenecks in a digital pathology laboratory. These include pre-diagnostics in the form of our artefact detection SlideQC BF product, primary diagnosis using our HALO Prostate AI software, companion diagnostic reporting of immunohistochemistry biomarkers such as our Breast IHC AI and Lung PD-L1 AI portfolio, as well as adding precision to digital molecular pathology labs with our HALO Macrodissect AI suite of software.In this short presentation we will give an overview of our clinical AI software and describe how they can add efficiency and quality to your digital research and clinical pathology laboratory.
14:15
Primaa: “How Cleo skin can elevate your dermatopathology workflow”
Primaa will present its newest product, Cleo Skin and explain how the different features have been designed to enhance dermatopathology workflow. Primaa will also introduce the different keys for a successful integration of an AI tool in
a daily practice of pathology.
14:20
KFBIO: "Exploration and Practice of AI-Powered Fully Digital Pathology Construction"
At KFBIO, we're building an end-to-end digital pathology platform already proven in real-world use. Our AI modules support cervical, gastric, and thyroid cancer diagnosis assistance, while AI quality control ensures consistent performance across labs.
Deployed in China and expanding globally, our system improves pathology efficiency by up to 20×, reduces workload, and brings reliable diagnostics to more people, faster.
Here we'll show that pathology AI is not just a concept, but also a clinical reality.
14:25
Mindpeak: “No Signal Left Behind: How AI can improve HER2ultralow assessment for precision diagnosis and broader Treatment Reach”
Identifying HER2ultralow expression in breast cancer is a major challenge for pathologists due to the subtle and heterogeneous signal. AI-powered image analysis enhances sensitivity, reduces inter-observer variability, and improves the
reproducibility of HER2ultralow assessment. By enabling more accurate diagnosis, AI decision support tools can expand patient access to HER2-targeted therapies. The talk will share interim results from a global study of using HER2 AI in 18
countries and will discuss practical strategies for integrating AI-based HER2 assessment into routine digital pathology workflows worldwide.
14:30
Histofy
Histofy builds transparent, vendor-agnostic AI to accelerate histopathology workflows. In this talk, we will showcase three products: MitPro® for next-generation mitotic-figure quantification, COBI for efficient colon-biopsy screening
and triaging, and GI-Miner for deep GI tissue profiling. Seamlessly integrated with leading IMS providers, our technology streamlines current practice and paves the way for faster precision diagnostics and improved patient care.
14:35
Roche: “Digital Pathology: the Future of AI Workflows and Analytics”
This will cover the important aspects of enabling an open environment and what that means for the pathologist and end user. It addresses the ability to integrate Ai workflows and Ai algorithms into the practical workflow for the pathology
lab. This will enable more efficiency gains in the pathology space, and ultimately create a dynamic yet practical digital environment.
14:40
PathQA: “Standardized Color for AI - An Ounce of Prevention is Worth a Pound of Cure”
Inter-scanner color shift affects AI robustness and concerns exist over ‘AI aging’ as scanners change color over time, impacting AI reliability and safety. AI developers spend significant time, cost and effort addressing scanner color
variation using computational normalization and foundation models, to mixed success. As in medicine, prevention is better than a cure. Standardised color calibration of scanner images prevents the problem, normalisation across large datasets tries to cure. Frequent scanner calibration using an industry standard color slide and scanner-specific ICC color profiles provides a universal solution to the variation introduced by cross-vendor scanners. PathQA’s Sierra color calibration technology corrects and standardizes WSI to the ground truth color of real glass slides, providing real-time quality assurance for stable and scalable performance of scanners and AI over time.
14:45
Evident: “Elevating Pathology with AI at Evident: TruAI and Innovation Partnerships”
This presentation showcases how Evident is advancing digital pathology through its AI platform, TruAI, and strategic innovation partnerships. It highlights AI’s role in enhancing image acquisition with smart sample detection, ROI-based magnification for efficient scanning, and automated quality control to streamline workflows.
Post-acquisition, TruAI supports advanced applications such as FISH analysis, morphology-based diagnostics, and automated cell counting.
The session also emphasizes Evident’s commitment to open innovation, enabling partners to develop and integrate their own deep learning models tailored to specific diagnostic challenges, fostering a collaborative ecosystem for AI-driven pathology.
14:50
Fraunhofer IIS: “MIKAIA® - how it gives superpowers to Computational Pathologists and Spatial Biologists”
Valued by both academia and industry. MIKAIA® lite is free and can be used to annotate datasets, export tiles, view multi-omic slides, batch-convert and more. Download now at www.mikaia.ai. MIKAIA® studio includes a vast range of image analysis Apps and AIs for analyzing H&E, IHC, multiplex IF, FISH or MSI slides. The portfolio of spatial analysis capabilities is unprecedented: Cell-cell connections, Cellular Neighborhoods, Proximity Analysis, Spatial Clustering...
MIKAIA® is extensible: With the interactive AI Author, you can train new custom AI models within minutes. Bioinformaticians value how simple it is to integrate their own AIs using the API and finally put them into the hands of their medical staff.
New: MIKAIA® now includes the award-winning multi-omic slide alignment technology HistokatFusion.
14:55
Ibex Medical: “Ibex's AI-powered platform - globally deployed and used in routine practice”
Join us to learn how European laboratories are using Ibex's AI to improve diagnostic accuracy, reduce turnaround times, and heighten pathologists' job satisfaction.
15:00
3DHISTECH: “AI for automated sample detection”
As the field of routine pathology transitions into the digital realm, there is a surging demand for the full automation of microscope scanners, aiming to expedite the process of digitizing tissue samples, and consequently, enhancing the
efficiency of case diagnoses. The key to achieving seamless automatic imaging lies in the precise detection and segmentation of tissue sample regions on the glass slides. State-of-the-art approaches for this task lean heavily on deep learning
techniques, particularly U-Net convolutional neural networks. In this presentation we will show the state-of-the-art AI-based module which works under the hood in 3DHISTECH scanners. This Ai algorithm can classify various
sample types (cytology, smear, needle biopsy, regular histology), on the top of this, also segments the tissue sample, in this way enables the scanner device to automatically and quickly scan only the relevant sample area without artefacts
such as bubbles or dirt. The automatic classification also helps to improve the quality of the scans by selecting the appropriate scanning and focusing options based on the sample type.
15:05
OptraScan: Revolutionizing “IHC: AI-Powered Virtual Staining for Faster, Cost-Effective Diagnosis”
Traditional Immunohistochemistry (IHC) staining is essential for disease diagnosis but is often time-consuming, expensive, and requires specialized reagents. OptraSCAN’s AI-powered Virtual IHC Staining technology offers a novel,
reagent-free approach that simulates IHC-stained images from standard H&E slides with high accuracy.
Our AI models analyze morphological features and digitally generate IHC-equivalent stains, enabling pathologists to obtain biomarker insights instantly without additional tissue processing. This reduces costs, speeds up diagnostics, and
expands access to IHC analysis, especially in resource-limited settings.
15:10
Slide Score: “Anno2: A High-Performance Annotation Engine for Large-Scale Digital Pathology in Slide Score”
Digital pathology requires precise, scalable annotation tools to support AI workflows, research, and education. However, traditional systems struggle with the sheer volume of data in cell-level annotations, often failing to display more
than 100,000 polygon vertices. To address this challenge, we present Anno2, the next-generation annotation engine in Slide Score, designed to render and interact with datasets containing tens of millions of vertices — enough to show a
detailed outline of every cell on a whole slide image.
Anno2 introduces an advanced compression algorithm that reduces annotation file sizes up to 50-fold compared to GeoJSON, requiring only ~2 bytes per (x,y) coordinate. Each individual annotation can have additional metadata associated and
can be interacted. With Anno2, pathologists and researchers can interact with complex data in real time.