SEPTEMBER 7-11, 2024 | FLORENCE, ITALY

European Congress of Pathology (ECP) 2024

Visit Aiforia's booth #73!

Aiforia's team will attend the European Congress of Pathology in Florence, Italy. Are you ready to hear how AI-assisted image analysis can increase efficiency, precision, and consistency in the pathology workflow?

Based on your interests, Aiforia's experts can organize AI demos on the spot, or you can get in touch with Tamas Regenyi, our VP of Sales, Europe, to secure a time for a meeting. Don't miss the chance to see the Aiforia^® Platform in action.

View the schedule and agenda for Aiforia-related presentations and posters at the event below.

Schedule Contact us

Sunday, September 8th

PS-02-018 A threefold evaluation of HER2low status of advanced breast carcinomas in core biopsies, matching surgical specimens and their distant metastases. A retrospective study of 47 patients using conventional microscopy, digital pathology and AI

Sahlgrenska University Hospital_logo

Anikó Kovács,
Department of Clinical Pathology, Sahlgrenska University Hospital, Sweden

September 8, 2024 | 10:30-11:30 (CEST; UTC +2)

Poster Session | Poster Exhibition

The Aiforia^® Platform was utilized to provide HER2-low and ultralow statuses of 47 breast carcinoma cases.

Part of PS-02 Poster Session Breast Pathology

CP-02-006 Deep learning predicts the effect of neo-adjuvant chemotherapy for patients with triple negative breast cancer

Bart Sturm_portrait Pathan_logo

Bart Sturm,
Pathan B.V., Netherlands (Under Research Lead: Prof. Jeroen van der Laak)

September 8, 2024 | 15:45-17:45 (CEST; UTC +2)

Computational Path. Symposium | Spadolini 2

Aiforia^® Create was utilized to create an AI model for predicting the outcome of neo-adjuvant chemotherapy based on whole slide images of H&E slides from the tumor biopsy prior to therapy.

Part of CP-02 Recent developments and validation

Monday, September 9th

PS-01-001 Automated detection and classification of hematopoietic cells in bone marrow aspirate smears for routine screening using a deep-learning algorithm (Aiforia)

Leonie Saft_portrait_circle Karolinska University Hospital_logo

Leonie Saft,
Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Sweden

September 9, 2024 | 9:30-10:30 (CEST; UTC +2)

Poster Session | Spadolini Pavilion

Aiforia^® Create was used to develop a convolutional neural network-based algorithm for the detection of hematopoietic cells as a quick screening tool in routine diagnostics.

Part of PS-11 Poster Session Haematopathology

This abstract/poster will also be part of the "Best Poster Session" held in Terminal 2 at 16.45-17.15.

OFP-06-004 Reticulin framework alterations in paragangliomas: do they matter at all?

Eleonora Duregon_portrait_circle University of Turin_logo

Eleonora Duregon,
University of Turin, Italy (Prof. Papotti's research group)

September 9, 2024 | 15:45-17:45 (CEST; UTC +2)

Oral Free Paper Session | Volta

The Aiforia^® Platform supported in defining the role reticulin framework (RetFr) assessment in the diagnostic workup of PGLs.

Part of OFP-06 Joint Oral Free Paper Session Endocrine Pathology / Head and Neck Pathology

Tuesday, September 10th

SC-18-002 Computational and integrative pathology from diagnosis to prediction: an Italian experience

Vincenzo LImperio_portrait University of Milan-Bicocca_logo

Vincenzo L’Imperio,
University of Milan-Bicocca, Italy

September 10, 2024 | 15:45-17:45 (CEST; UTC +2)

Short Course | Spadolini 4

Aiforia^® Create was used to create a tool designed specifically to assist the on-call pathologist with interpreting a pre-implantation kidney biopsy.

Part of SC-18 Next Generation Pathologists

SC-21 Debating the pros and cons of AI topics

Inti Zlobec_portrait_square