Posters

The poster authors will be at their posters during the poster reception.
All information regarding the posters will be provided soon.

P01	Eunwoo Park (Republic of Korea) et al. Deep Learning-Based Ultraviolet Photoacoustic Microscopy for Label-Free Digital Pathology
P02	A Filipe Pereira (United Kingdom) et al. Discrete-Event Simulation-Driven Equipment Capacity Optimisation for High-Volume Histopathology Services
P03	Lauren DeLong (United Kingdom) et al. Deep Learning-Based Automated Detection of Giardia lamblia in Duodenal Biopsies
P04	José Teixeira (Netherlands) et al. Automated Segmentation of Mononuclear Cell Infiltrates in H&E Slides of Drug Safety Studies
P05	Ananda van der Kamp (Netherlands) et al. Weakly Supervised Deep Learning for Anaplasia Classification in Wilms Tumor Whole-Slide Images
P06	João Vale (Portugal) et al. Optimizing thyroid pathology workflows: the role of section thickness and slide type
P07	Nina Baumgartner (Switzerland) et al. Assessment and automated detection of tumour deposits in colorectal cancer whole slide images
P08	Vahid Anari (Brno, Czech Republic) et al. Systematic Evaluation of Clinical Covariates for Multimodal WSI-Based Survival Prediction for Colorectal Cancer
P09	Dilara Karaoglu (Germany) et al. Mapping AI-Derived Histological Prototypes with Spatial Transcriptomics for a Refined Subtyping of Undifferentiated Pleomorphic Sarcoma
P10	Esha Sadia Nasir (United Kingdom) et al. CORE: A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-Stain Whole-Slide Image Alignment
P11	Michael Kutte (Nigeria ) et al. Deep Learning–Based Automated Detection of Tuberculosis Granulomas in Digital Histopathology Slides from a High-Burden, Conflict-Affected African Region
P12	Corina Cotoi (Germany) et al. Best practices for ground truth annotation in epithelial tumor detection: an industry perspective
P13	Swapnil Rane (India) et al. Automated Clinically Relevant Lymph Node Metastases of Squamous Cell Carcinoma across multiple sites
P14	Mohamed Abdrabbou (Gremany) et al. Spatial Mapping of Immune Evasion and Cytotoxic TIME in Urothelial Carcinoma
P15	Catherine Chia (Netherlands) et al. CHIMERA Challenge: Response Subtypes and Recurrence Predictions in Bladder Cancer Patients using Multimodal Datasets
P16	Nita Mulliqi (Sweden) et al. Comparative analysis of end-to-end learning and foundation models for clinical-grade prostate pathology
P17	Moira Ragazzi (Italy) et al. Ex Vivo Fluorescence Confocal Microscopy (EVFCM) and Rapid On-Site Digital Histopathological Evaluation (RODE) in digestive endoscopy: a real life experience
P18	Shakiba Sharifi (Italy) et al. Toward Reproducible Coronary Stenosis Assessment in Forensic Autopsy Histology: A Deep Learning Whole-Slide Imaging Tool
P19	Aakash Madhav Rao (United Kingdom) et al. TIAgent: Enabling Code-Free Computational Pathology Workflows in Natural Language
P20	Chantell Hodgson (United Kingdom) et al. Anytime, Anywhere Cytopathology: Elevating Diagnostic Accuracy Through Digital Practice
P21	Christoph Blattgerste (Germany) et al. Geometrical Properties of Whole Slide Images determine Tissue Composition and assist in Clinical Decision Support
P22	Chantell Hodgson (United Kingdom) et al. Supporting Workforce Excellence Through Digital Education
P23	Luana Xuan Liu (Sweden) et al. Automated Quantification of Tumour Length in Digitised Prostate Core Needle Biopsies by Rule-Based Algorithm
P24	John K.L. Wong (Germany) et al. PAIX: Agent-Assisted Harmonization for Multimodal Digital Pathology and Integrative Diagnostics
P25	Giuseppe Mallel (Isreal) et al. Cross-Organ Standalone Performance of a Gastric-Trained Artificial Intelligence Algorithm in Esophageal Biopsies
P26	Niloufar Rahimizadeh Asli (Finland) et al. Generalizable deep feature extraction for single cell level analysis of tissue and cell type classification
P27	Julia A. Mielcarz (Sweden) et al. Virtual Unstaining-Enabled Stain-Free Histopathology for Prostate Cancer
P28	Till Nicke (Germany) et al. Scaling Supervised Pathology Foundation Models through Slide-Level Multi-task Learning
P29	Dovile Zilenaite-Petrulaitiene (Lithuania) et al. Integrative digital pathology for multimodal prognostic modeling in clear cell renal cell carcinoma
P30	Sol Erika Boman (Sweden) et al. Conformal prediction for reliable Gleason grade classification
P31	Sander Moonemans (The Netherlands) et al. Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling
P32	Vasco Coelho (Milan, Italy) et al. Towards morpho-molecular learning in computational pathology
P33	Esha Sadia Nasir (United Kingdom) et al. Immune Cell Classification in Renal Multiplex Immunofluorescence Images Using Deep Learning: Application to Cytomegalovirus-Associated Nephropathy
P34	Swapnil Bhat (India) et al. Resource-Agnostic Microsatellite Instability Prediction from H&E Images Using Foundation Model Features in Digital Pathology
P35	Devansh Lalwani (India) et al. Development of an AI-Based Bone Marrow Differential Cell Count System
P36	Éléa Gros (Bern) et al. GLIOMETER: Automated Quantification of Tumor Cell Content in High-Grade Gliomas from H&E Whole-Slide Images
P37	Mateusz Maniewski (Poland) et al. Data-Efficient Prostate Cancer Screening Using Pathology Foundation Model Features: A Cross-Institutional Retrospective Evaluation
P38	Giovanni Laganà (Milan, Italy) et al. Transformer-Based Multiple Instance Learning for Mutation Prediction from Whole-Slide Images
P39	Bojana Pocuca (Finland) et al. Leveraging H&E Histopathology to Model Patient Heterogeneity and Improve Clinical Trial Efficiency
P40	Devansh Lalwani (India) et al. Integrating Heatmap-Based Model Explanations and Large Language Models for Interpretable Banff Scoring
P41	Karoline Miladinovic (Denmark) et al. AI-based glomerulosclerosis scoring method for rodents using deep learning
P42	Laure Ciernik (Germany) et al. Interpretable Survival Prediction from Single-Cell RNA-seq via Metacell-Based Attention Multiple Instance Learning
P43	Burhanuddin Anis (United Kingdom ) et al. Bayesian Few-Shot Learning for Isolated Tumor Cell Detection in Lymph Node Whole-Slide Images
P44	Raphaël Bourgade (France) et al. Robust Pan-Cancer Mitotic Figure Detection with YOLOv12
P45	Fabian Gülhan (Germany) et al. From Unstructured Pathology Reports to Annotated Biomarker Datasets Using Large Language Models
P46	Julian OSTERMAIER (France) et al. Evaluating Biological Consistency and Robustness to Technical Variability in Multimodal Latent Spaces
P47	Florian Jaeckle (United Kingdom) et al. AutoDuo: Multi-Centre Validation of an AI Triage System for Automated Sign-Out of Normal Duodenal Biopsies
P48	Mohd Rifqi Rafsanjani (Ireland) et al. Multi-modal Integration of Hyperspectral Chemical Imaging and Transcriptomics for Colorectal Cancer Consensus Molecular Subtyping
P49	Guillaume E. Courtoy (Belgium) et al. Chronic endometritis: a meaningful definition and standardized stratification using spatial CD138-based classification
P50	Lorren Mitchell (United Kingdom) Beyond Implementation: Using Digital Pathology EQA to Support Quality, Standardisation and Participant Confidence at Scale
P51	Francesca Vanzo (Italia) et al. Interoperable Digital Pathology Implementation for Workflow-Based AI Teleconsultation
P52	Hanga Tárkányi (Finland) et al. Foundation Models for Gland Segmentation in Histopathological Whole Slide Images
P53	Davide Panzeri (Germany) et al. Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in MASH
P54	Nickels Winkler (Germany) et al. Impact of Quantitative Image Analysis of Histological Slides on Downstream Clinical and Research Applications
P55	Esha Sadia Nasir (United Kingdom) et al. Efficient Classification of Atypical versus Normal Mitotic Figures Using LoRA-Fine-Tuned Foundation Models
P56	Melissa Ensmenger (Switzerland) et al. Linking Histology to Molecular Signatures: An AI Framework for Guiding Personalized Treatment of Inflammatory Skin Diseases
P57	Laura Valeria Perez-Herrera (Spain) et al. Limited Cross-Cohort Generalization of Foundation Models for Lung Adenocarcinoma Growth Pattern Classification
P58	Mustafa Yousif (US) et al. Technician-Centric AI Quality Control for Whole-Slide Imaging: Slide-Level Concordance With Manual Review and Operational Time Savings
P59	Matthieu Tihy (France) et al. Histological Classification of High-Grade Digestive Neuroendocrine Neoplasms using an Advanced Deep Learning Model.
P60	Mateusz Maniewski (Poland) et al. Sensitivity-Aware Dual-Head MIL for Prostate Biopsy Screening Using Foundation Model Features
P60	Masoomeh Rahimpour (Belgium) et al. Ploidy Estimation from Sarcoma Histopathology Using Weakly Supervised Graph Neural Networks
P61	Gregory Verghese (United Kingdom) et al. Towards Transparent AI in Computational Pathology: Multimodal Concept Learning for Clinical AI
P62	Ana Beatriz Vieira (Portugal) et al. An Automated Training-Free Framework for Ki67 Quantification
P63	Margaret Horton (UK) et al. Pathologists’ First Real-World Encounters With AI: Views on Acceptance, Liability Concerns and Workflow Fit
P64	Jiří Horák (Czech Republic) xOpat - the Digital Pathology Viewer
P65	Pascal Klöckner (The Netherlands) et al. Crowdsourcing enables robust cell annotation for breast cancer pathology
P66	Carmen Zerner (Austria) et al. Development of a Metadata Catalog for Whole Slide Images with Integrated Governance Management
P67	Jagruti Kadam (India) et al. Tape Versus Glass Coverslipper- A quality and Speed comparison in microscopic and digital image quality.
P68	Hafsa Akebli (Italy) et al. Cross-Domain Generalization of Histopathology Foundation Models: A Comparative Evaluation in Multicenter, Multi-Scanner Cohorts
P69	Pascal Klöckner (Switzerland) et al. Investigating Test-Time Training for Patch Classification in Computational Pathology under Dataset Bias
P70	Ivan R. Slootweg (the Netherlands) et al. Paving the Way for Fully Automated BCC Reporting: A BCC Detection Framework Using Self-Supervised Anomaly Detection For Dangerous Neoplasms
P71	Kristin Spirgath (Germany) et al. Automated segmentation and quantification of histological liver features for MASH/MASLD scoring
P72	Gernot Fiala (Austria) et al. ONCO-AITI: AI-Assisted Web-Based Training for Young Pathologists in Colorectal Neoplastic Lesions
P73	Matthias Perkonigg (Austria) et al. Hierarchical Generalized Category Discovery for Brain Tumor Classification
P74	Marie Sockeel (Paris) et al. Clinical performance of an AI-based decision support system for skin tumor classification and mitosis detection in dermatopathology: results of the SkinPerf2026 multi-reader study
P75	Maya Maya Barbosa Silva (Norway) et al. Utilizing stain-variation modeling to generate shareable and reusable image augmentation templates
P76	Pedro C. Neto (Portugal) et al. Gastritis Diagnosis: How Atrophy is the Achilles' heel for Multiple-Instance Learning AI systems
P77	Chung-Yueh Lien (Taiwan) et al. Design and Implementation of an Open-Source Integrated Digital Pathology Workflow with DICOM WSI Management and AI-Assisted Analysis
P78	Karolina Punovuori (Finland) et al. Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer
P79	Sabina Köfler (4020 Linz, Austria) et al. CDxTRG+: an automated tumor regression grading tool for esophageal adenocarcinomas
P80	Rebekah Bryant (United Kingdom) et al. Interpretable deep learning for coeliac disease diagnosis using morphological feature extraction from duodenal biopsies
P81	Reza Nasirigerdeh (Germany) et al. Federated Foundation Models for Computational Pathology
P82	Piotr Giedziun (Poland) et al. Annotation-Efficient Pseudo-Labeling for Ki-67 Cell Detection Using Fine-Tuned Foundation Models
P83	Swapnil Bhat (India) et al. TuroTrain: Foundation Model-Based Prediction of Microsatellite Instability in Endometrioid Endometrial Cancer
P84	Anders Blilie (Norway) et al. Temporal stability limits of AI-based pathology: A longitudinal stress test of Gleason grading Models
P85	Joshua Tashman (United States) et al. Automated Pipeline for De-identification of Whole Slide Imaging Files Using DICOM: An Institutional Implementation
P86	Martynas Riauka (Lithuania) et al. Bridging Polarimetric Imaging and Brightfield Histopathology through AI-Driven Polychromatic Polarization Microscopy
P87	Ingvild Froeberg Mathisen (Germany) et al. Dual-Foundation-Model Ensemble Predicts Gene Expression in Muscle-Invasive Bladder Cancer (MIBC) for Patient Outcome Stratification
P88	Matěj Pekár (Czech Republic) et al. Beyond Tile Embeddings: A Geometry-Aware Nuclei Foundation Model
P89	Amjad Khan (Switzerland) et al. Clinical translation and prospective evaluation of MetAssist 1.0 for lymph node metastasis detection in colorectal cancer
P90	Fadime Gul Salman (Turkiye) et al. The Impact of Artificial Intelligence Assistance on Interobserver Agreement in ER, PR, HER2, and Ki-67 Assessment
P91	María Inés Catalani (Spain) et al. Retrospective Clinical Validation of an AI Algorithm for Mitosis Quantification in Breast Carcinoma and Cutaneous Melanoma
P92	Florian Winkler (Austria) et al. Can AI support improve the usability of a gaming device for evaluating digital histological specimens?
P93	Adler Ju (Hong Kong) et al. Comprehensive clinical evaluations of 37 digital pathology slide scanners
P94	Angela Crispino (Italia) et al. Weakly Supervised Approach for HPV Status Prediction in Oropharyngeal Carcinoma from H&E-Stained Slides
P95	Serdar Balci (Turkiye) et al. Real Life Scanning Time in Digital Pathology
P96	Phoenix Wilkie (Canada) et al. Size Matters: Exploring the morphological prototypes of adipocytes within breast tissue
P97	Marica Vagni (Rome, Italy) et al. Leveraging pathology foundation models for predicting Homologous Recombination Deficiency (HRD) from routine histopathology in ovarian cancer
P98	Andrea Lupo (Italy) et al. AI-based algorithm using H&E and IHC Whole-Slide Images for Recurrence Prediction in SLN-Negative Melanoma
P99	Alessio Fiorin (Spain) et al. Leveraging Crowdsourced Keypoint Correspondences to Guide Region of Interest Localization in Cross-Stain Whole Slide Image Registration
P100	Azar Kazemi (Mashhad, Iran) et al. Annotation-Efficient and Reliable Tumor-Infiltrating Region Identification and Density Stratification in Colorectal Cancer Histopathology Images: Expert-in-the-loop Approach
P101	Kastytis Sidlauskas (United Kingdom) et al. From ambiguity to standardisation: interpretable morpho-spatial modelling of DCIS grade with cross-panel validation
P102	Simon Graham (United Kingdom) et al. AI-assisted mitotic counting improves inter-observer consistency and efficiency in multi-site validation study
P103	Marco Rosati (Germany) et al. Decoding Tumor Cell Nuclei -Eccentricity and Nuclear Area as prognostic features of Lung Squamous Cell Carcinoma
P104	Fatma Tokat (Turkey) et al. Algorithm-Based Reclassification of HER2 IHC 0 Breast Carcinomas
P105	Hortense Deslandes (France) et al. Organizational impact of an AI-based pre-screening tool for the diagnosis of MMR/MSI status in patients with colorectal cancer (CRC)
P106	Davide Panzeri (Germany) et al. Multimodal Phasor Analysis for Digital Pathology: Quantitative Characterization of Liver Iron Overload
P107	Henning Höfener (Germany) et al. A Public Pediatric Bone Marrow WSI Dataset and AI Benchmarks for Leukemia Diagnosis
P108	Yvan Belakebi-Joly (Norway) et al. Learning Prognosis from Morphology Alone: Evaluating Diagnosis-Agnostic and Diagnosis-Aware Multiple-Instance Learning Models in Chronic Kidney Disease
P109	Pirmin Schlicke (Austria) et al. Calibrating Digital Twins from Routine Histopathology
P110	Nektarios A. Valous (Germany) et al. Hypercomplex color pipelines for digital pathology
P111	Aniek Eijpe (The Netherlands) et al. From Black Box to Biology: DIMAFx Reveals Key Interactions of Tissue Morphology and Gene Expression in Cancer Survival Prediction
P112	Youssef KAROUT (France) et al. LEVERAGING HIGH-QUALITY ANNOTATIONS FOR EFFICIENT SKIN LESION SEGMENTATION AND CLASSIFICATION
P113	Adam Kukučka (Czechia) et al. Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models
P114	Marcin Kuźniar (Poland) et al. Adapting Deep Learning to Site-Specific IHC Variations with Limited Annotations
P115	Calum MacAulay (Canada) et al. Explainable AI Enabled Prediction of Lung Cancer Outcomes using Large Scale DNA Organization (LDO)
P116	Zhengyang Xu (Germany) et al. A Multi-Magnification Navigation Agent for Whole-Slide Pathology to Support Pathologists’ Decision-Making
P117	Azar Kazemi (Munich, Germany) et al. N2EAC: A Reliable Multi-Backbone Ensemble Framework for Improved Histopathological Esophageal Tissue Morphological Subtyping
P118	Elaine Wan Ling Chan (Malaysia) et al. Digital Pathology Adoption and Readiness in Malaysia: A Cross-Sectional Survey of a Middle-Income Country
P119	Maria Colomba Comes (Italy) et al. An Interpretable Causal Framework for Digital Pathology of Tumor-Immune Dynamics in Neoadjuvant Breast Cancer
P120	Florian Jaeckle (United Kingdom) et al. Closing the Paediatric Gap: Adult-Trained AI Generalises Robustly to Paediatric Coeliac Disease Diagnosis
P121	Kai Rakovic (United Kingdom) et al. Stromal profiling of lung adenocarcinoma using self-supervised learning
P122	Clément Grisi (Netherlands) et al. Beyond Counts: Margin-Aware Robustness Metrics for Pathology Foundation Models
P123	Jakub Pekár (Czechia) et al. Benchmarking WSI Privacy: A Challenge on Linkage Attacks and Synthetic Data Anonymization
P124	Jakub Pekár (Czechia) et al. Bypassing the Annotation Bottleneck: A Novel Approach to ITC Segmentation in HDAB-Stained WSIs
P125	Giuseppe Maggioni (Italia) et al. An interpretable digital morphometry model on whole-slide images for grading alveolar overinflation severity in porcine lungs after Organ Care System ex vivo lung perfusion
P126	Rajiv Kaushal (India) et al. Validation of artificial intelligence (AI) tools for detecting lymph node metastases in gastric and colonic cancer
P127	Rick Salmon (United Kingdom) et al. Digital Pathology Scanner Color and Tonal Quality – The Start of the Journey
P128	Dr Syed Bilal Tanvir (United Kingdom) Noninferiority of Whole Slide Imaging Versus Conventional Microscopy for Primary Diagnosis in Surgical Pathology: A Systematic Review and Meta‑analysis of Randomized Trials
P129	Ashot Melikbekyan (Russia) et al. Multifactorial analysis of deep neural network training methods for histological liver image segmentation
P130	Ingrid Brezaniova (Austria) Vision Hema AI Validation: Why Clinical Context Matters
P131	Maxime Gassier (France) et al. Performance of H-optimus-0 foundation model for histological grading of lung adenocarcinoma
P132	Ylva A. Weeda (The Netherlands) et al. Unlocking the potential of deep learning-based detection and quantification of tumor infiltrating lymphocytes in gastroesophageal adenocarcinoma
P133	Vivien Miczan (Szeged, Hungary) et al. The Proteomic Landscape of Lung Adenocarcinoma
P134	Lucy Godson (UK) et al. Towards Scalable Computational Biomarkers: Predicting BRAF Mutation Status from Melanoma Whole Slide Images
P135	Ivan Zaletel (Serbia) et al. Enhancing Risk Stratification in Prostate Cancer: Validation of an AI Solution for the Identification of Cribriform Gleason Pattern 4
P136	Jiaqi Lv (United Kingdom) et al. KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images
P137	Tuo Yin (Belgium) et al. Label-Free Coreset Selection with Foundation Models for Efficient Annotation in Computational Pathology
P138	Elin Samuelsson (France) et al. Towards Tumor-Agnostic IHC Cell Detection and Classification
P139	Michael Kutte (Nigeria ) et al. Quantitative Spatial Digital Pathology Reveals Immune Architecture in Chronic Hepatitis B Among African Patients
P140	Kaitlyn Gelfant (United States) et al. Clinical Implementation of AI Driven Automated QC in a Large Tertiary Cancer Center
P141	Kristijan Skok (Austria) et al. AI-Mapping the Cellular Immune Microenvironment of Pancreatic Ductal Adenocarcinoma
P142	Susanne Pors (Denmark) et al. Automated AI-assisted preantral ovarian follicle staging in mice
P143	Kevin Thai (USA) et al. Differential Spatial Transcriptomic Gene Expression Profiles Associated with Breast Cancer Progression
P144	Lucas Erlacher (Basel, Switzerland) et al. Unmasking molecular identities: A comparative study of graph and attention models for image-derived CMS subtyping
P145	Angela Crispino (Italia) et al. Automated classification of salivary gland tumors using weakly supervised deep learning
P146	Hicran Aldemir (Istanbul, Turkey) et al. Clinically Relevant Single-Task Benchmarking of Histopathology Foundation Models for Classical Hodgkin Lymphoma Subtyping
P147	Moira Ragazzi (Italy) et al. CAD-assisted histological diagnosis in prostate mapping: a multicentric Italian experience of the AI-FLOPP study
P150	Miljana Shulajkovska (Slovenia) et al. Multimodal fusion models for colorectal cancer survival prediction
P151	Dipeeka Rane (India) et al. "Comparative Analysis and performance of the three different scanners using Histopathology stained slides."
P152	Essam Ayad (Egypt) Harnessing AI in the Digital Pathology Era-The Egyptian Experience
P153	Stefano Gobbo (Italy) et al. Deep learning–guided identification of signet ring cells in hereditary diffuse gastric cancer
P154	Nefise Uysal (The Netherlands) et al. Deep Learning-Based Classification of Prostate Cancer in TURP Whole-Slide Images
P155	Gonçalo Borrecho (Portugal) et al. "The GrandQC: The Desolation of Artefacts" - Adaption of an open-source tool for quantification of artefacts in a WSI biopsies day
P156	Carlijn Lems (The Netherlands) et al. Toward generalizable breast cancer segmentation: BEETLE, a multicenter, multiscanner, morphologically rich dataset
P161	Ana Sofia Castro Verde (Portugal) et al. AI models recapitulate the low overlap between radiology and pathology in prostate cancer detection
P162	Frauke Wilm (Germany) et al. Training Deep Learning Models for Lung Histopathology Segmentation Without Real Data
P163	Sanyukta Adap (United States) et al. Computational Analysis of Collagen Fiber Orientation Longitudinal Changes Reveals Race-based Differences in Breast Tissue
P164	Pablo Meseguer (Spain) et al. Hierarchical Multiple Instance Learning for Ewing Sarcoma Differential Diagnosis using Whole Slide Images
P165	Mattia Tonani (Italy) et al. An AI-based Mechanoclassifier for predicting clinical outcome in Triple-Negative Breast Cancer (TNBC) patients
P166	Kamilla Maria Bech Johannesen (Denmark) et al. Digitally assessed features of the tumor microenvironment as a predictor of lymph node metastasis and distant recurrence in patients with pT1 colorectal cancer
P167	Adam Bajger (Czech Republic) et al. EXPLAINING DIGITAL PATHOLOGY MODELS VIA CLUSTERING ACTIVATIONS
P168	Raghubansh Gupta (India) et al. 3-D reconstruction of Glomeruli is enabled by volumetric scanning of 2-d serial sections of different stains from kidney biopsy
P169	Hesam Hakimnejad (Finland) et al. Are diffusions created equal for virtual staining? A comprehensive study on diffusion models for image translation in histology
P170	Judith Lefkes (Netherlands) et al. ClinSim: Clinically grounded evaluation of AI-generated medical reports based on SNOMED-CT
P171	Rushabh Mehta (India) et al. Robust Automated Quantification of Tumour Area in Lung Cancer Whole-Slide Images Across Diverse Histologic Subtypes
P172	Karl-Moritz Schröder (Germany) et al. Linear separability of histopathology foundation model embeddings of stimulated Raman histology images for lung carcinoma subtyping
P173	Aslı Çakır (Turkey) et al. Diagnostic Performance of an Artificial Intelligence Algorithm for Lymph Node Metastasis Detection in Breast Cancer
P174	Kyung-Ku Kang (South Korea) et al. Comparative Evaluation of Deep Learning Models for Mast Cell Counting in DNCB-Induced Atopic Dermatitis Mice
P175	JieFu Zhu (Germany) et al. Privacy-Preserving Swarm Learning for Multicenter Generative Modeling and Harmonization of Whole Slide Images in Digital Pathology
P176	Rocío del Amor (Spain) et al. Text-guided Tumor Segmentation on Skin Whole Slide Images using an In-House Platform
P177	Dr. Neha Singh (India) et al. Next-Generation Breast FNAC Diagnostics: Leveraging Convulational Neural Networks for Cytomorphologic Precision
P178	Yousif A. Kariri (Saudi Arabia ) et al. Phase IV Clinical Evaluations of NSCLC Pharmacotherapies: A Systematic Review of Treatment Efficacy and Safety (2020–2025)
P179	Fatma Yildirim (Türkiye) et al. Efficiency of Digital Intradepartmental Consultation on Workflow in a Multi-Center Pathology Network
P180	Carolin Mogler (Germany) et al. AI Implementation into Routine Clinical Service: Lessons from Germany Tertiary Academic Medical Center
P182	María Blanco (Spain) et al. From Visual Fidelity to Diagnostic Robustness: Benchmarking Virtual Staining Models under Adversarial Perturbations in Breast Histopathology
P183	Rudy Hovelinck (Belgium) et al. Digital Pathology Innovations in Cross-Border Connectivity, AI and Mass Spectrometry (DigiPathConnect)
P184	Christian Grashei (Germany) et al. Beyond Classification: Benchmarking Report Generation Against Weakly Supervised Learning in Prostate Cancer
P185	Van-Linh Le (France) et al. AI-Driven Prognostic Modeling of Gynecologic Smooth Muscle Tumors of Uncertain Malignant Potential Using Multi-Magnification Histopathology Images
P186	Ian Langton (Denmark) Staining Intensity Performance of Two Agilent Dako Pathology Systems Using AI Based Quantitative Quality Control Tool Qualitopix
P187	Federico Di Cocco (Italy) OPTIMIZED DIGITAL PATHOLOGY WORKFLOW FOR AUTOMATED MULTIPLEX IHC ANALYSIS OF TUMOR IMMUNE MICROENVIRONMENT IN BREAST CANCER
P188	Fadwa Majdoubi (Morocco) et al. FROM GENETIC ALTERATION TO IN SILICO DESIGN OF VEGF INHIBITORS: A NEW PATHWAY TO FIGHT COLORECTAL CANCER
P189	Haakon Alexander Flink (Norway) et al. Deep learning-based classification of tubular lesions in digital nephropathology
P190	Chan Kwon Jung (Republic of Korea) et al. Image Quality Assessment through Spatially Aware Focus Analysis in Digital Cytology Workflows
P191	Melis Erdal Cesur (The Netherlands) et al. Validation of a De-Identification Pipeline for Pathology Reports
P192	Kenny Workman (USA) et al. SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
P193	Ceren Boyaci (Sweden) et al. Measurement of Stromal Expression of Hormone Receptors in Breast Cancer: A Reproducible Digital Pathology Workflow
P194	ARNAV KR. ROYCHOUDHURY (India) et al. GLOMERULAR DIAMETER MEASUREMENTS BY WHOLE-SLIDE DIGITAL IMAGING IN DIABETIC NEPHROPATHY: ITS CORRELATION WITH PROTEINURIA AND eGFR
P195	Fabian Sinzinger (France) et al. Joint Patch Segmentation and Whole-Slide Classification in a Unified End-to-End Framework
P196	Lasse Nieminen (Finland) et al. Gastroscopy AI tool implementation stage evaluation
P197	Olaejirinde Olaofe (Nigeria) et al. Digital color separation can be used to identify fungal and parasitic bodies in tissue biopsies at a tertiary health center in Southwest Nigeria
P198	Iancu Emil Pleșea (Romania) et al. Morphometric assessment of main myocardial components depending on age and sex
P200	Ahlem bdioui (Tunisia) et al. AI-Driven Prognostic Evaluation in Uveal Melanoma Through Automated Nucleolar Analysis
P209	Alexey Fayzullin (Russia) AI-based quantification of nucleolar prominence improves survival stratification in renal cancer
P201	Swapnil Bhat (India) et al. Comparing Scanner-Based and Microscope-Based Workflows for Ki-67 Quantification in Breast Pathology
P202	Farina Kock (Germany) et al. MarrowMind: a smartphone application for automatic bone marrow smear analysis for leukemia diagnosis
P203	Kristijan Skok (Austria) et al. AI-Assisted Three-Dimensional Quantification of Liver Fibrosis Using Non-Destructive Micro-CT Imaging
P204	Ana Mateo Motos et al. A Model-Agnostic Fairness Auditing Framework for Medical Imaging AI: Evidence from Alzheimer’s Disease Classification
P205	Almoatazbellah Youssef (Germany) et al. Volumetric 3D Histology via µCT and WSI registration of complete FFPE blocks
P206	Natalia P. García-de-la-Puente (Spain) et al. Anomaly detection of cutaneous metastasis under domain shifts using whole-slide images
P207	Aleksandr Peshkin (Russia) et al. SWOT Analysis of the Integration of an AI-Based Self-Learning Chatbot in the Activity of a Center for Autoimmune Diseases
P208	Omer Faruk Dilbaz (Turkey) et al. Predicting BRAF Situation in Melanoma Cases Using Digitalized Slides
P209	Abdulrahman Abbas Yusuf Mohammed (Sudan) et al. Enhancing Physicians’ Adherence to the 2023 Sudan Malaria Case Management Protocol Using AI as an Intervention Tool
P210	Mohammedawal Onoruoyiza Ibrahim (Nigeria ) et al. Effects of Methanol Leaf Extract of Chromolaena odorata on serum haptoglobin and hemopexin levels in phenylhydrazine induced anaemic wistar rats.