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Predicting Gene Mutations Directly From Routine Histological Slides in Lung Cancer

Lung cancer/meduniwien.ac.at

Dec 11, 2024, 17:50

Predicting Gene Mutations Directly From Routine Histological Slides in Lung Cancer

Emre Yekedüz, Research Fellow in Medicine at Dana-Farber and Medical Oncologist and Faculty Member at Ankara Üniversitesi, shared an article by Yu Zhao on X:

“DeepGEM: A ground breaking AI model for predicting gene mutations directly from routine histological slides in lung cancer.

A large multi-center dataset (16 hospitals, 3637 patients) and TCGA data, DeepGEM demonstrated high accuracy (AUC up to 0.97) across excisional & aspiration biopsies, even generalizing to lymph node metastases.

This cost-effective, annotation-free method could revolutionize precision oncology by providing timely, accessible, and accurate mutation predictions—potentially guiding targeted therapy decisions.”

Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study.

Authors: Yu Zhao, et al.

Predicting Gene Mutations Directly From Routine Histological Slides in Lung Cancer

AI Ankara Üniversitesi cancer Dana-Farber DeepGEM fight against cancer Gene Global fight against cancer Lung cancer MedOnc OncoDaily Oncology TCGA Yu Zhao

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