Heidelberg University Hospital and Qlucore Present Findings on AI-based Classifiers for Lung Cancer Subtyping

The results on AI-based classifiers for lung cancer were generated using Qlucore Insights and presented at The Molecular Analysis for Precision Oncology Congress 2024, in London, UK. This study demonstrates that Qlucore Insights can analyze lung tumors and lung diseases with high accuracy.

”We are excited to share this promising data from our Qlucore Insights Lung model and how it can reproduce histopathological classification of tumors.” says Carl-Johan Ivarsson, CEO.

Together with Heidelberg University Hospital, Qlucore previously secured funding from the Eurostars program in 2021. The aim of this partnership is to develop a ground-breaking solution for cancer classification and diagnostics based on RNA-sequencing data, including AI powered machine learning based classifiers.

The collaboration has resulted in the lung classifier model, which was presented as a poster by Alejandro Pallares Robles et al. The results show that Qlucore Insights can effectively analyze lung tumors, helping to classify them.

The lung cancer model is available for use (Research Use Only) and is integrated into the Qlucore Insights software. An IVDR compliant solution is currently under development. The lung cancer model is one of several models supported by the Qlucore Insights platform which also includes leukemia and bladder cancer.

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Contacts

Press contact:
Michael Bull/Gina Korchak
Brookscomm
Phone: +44 (0) 1483 537 890
Email: michael@brookscomm.com, gina@brookscomm.com

Qlucore contact:
Carl-Johan Ivarsson, CEO
Phone: +46 (0) 46 286 31 14
Email: carl-johan.ivarsson@qlucore.com