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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Media Informatika Instal : Jurnal Komputer Journal of Artificial Intelligence and Digital Business West Science Interdisciplinary Studies West Science Interdisciplinary Studies Journal of Biomedical and Techno Nanomaterials
Justam, Justam
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AI POWERED DIGITAL HISTOPATHOLOGY: PREDICTING IMMUNOTHERAPY RESPONSE USING DEEP LEARNING Judijanto, Loso; Chai, Som; Pong, Ming; Justam, Justam; Nampira, Ardi Azhar
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i3.2379

Abstract

Immunotherapy has revolutionized cancer treatment, yet predicting which patients will respond remains a major clinical challenge. Current predictive biomarkers, such as PD-L1 expression, have limited accuracy and fail to capture the complex interplay of cells within the tumor microenvironment. Digital histopathology, the analysis of digitized tissue slides, combined with artificial intelligence (AI), offers a novel approach to identify complex morphological patterns that could serve as more robust predictive biomarkers. Objective: A deep learning model, specifically a convolutional neural network (CNN), was trained on a large, multi-center cohort of digitized tumor slides from patients with non-small cell lung cancer who had received ICI therapy. The model was trained to identify subtle morphological features and the spatial arrangement of tumor cells and tumor-infiltrating lymphocytes. The model’s predictive performance was rigorously validated on an independent, held-out test cohort, and its performance was compared to the predictive accuracy of PD-L1 staining. The AI-powered model successfully predicted immunotherapy response with a high degree of accuracy, achieving an area under the receiver operating characteristic curve (AUC) of 0.88 in the validation cohort.
Co-Authors Abdul Malik Andi Saenong Ardiansyah, Muh. Batari Tammaka, Arifah Batti, Sartho Chai, Som Diva, Clara ERLITA Fitri, Nurul Fitriani Fitriani Hasanuddin, M. Hasanuddin Hijrawati Idris, Mochammad Agus Judijanto, Loso Khalid Ilyas, Irsyad Kurniawan, Fahmi Luqman Fanani Mz M. Hasanuddin Muchta, Ardiansyah AR. Muchtar, Ardiansyah AR. Nampira, Ardi Azhar Pong, Ming Ramadani, Aisya Sibiti, Milda Sitti Mawaddah Umar