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Updated: Jul 16, 2026
A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Artificial intelligence (AI) molecular analysis tool assists in rapid treatment decision in lung cancer: a case
Barliz Waissengrin1,2, Alexandra Garasimov3, Or Bainhoren3,2
1Oncology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel barlizw@tlvmc.gov.il.
Abstract:
Leptomeningeal involvement among non-small cell lung cancer (NSCLC) patients is an aggressive form of disease that requires quick and efficient treatment. In this case report, we describe a woman in her 40s with a presenting symptom of headache that ultimately was diagnosed as leptomeningeal spread from NSCLC adenocarcinoma. We identified EGFR mutation in less than 48 hours from the biopsy using imagene-artificial intelligence's real-time algorithmic solution on the pathological diagnostic slide.
