Faculty

Institution

Unit

Venue

Ola El-Zammar

Upstate Medical University

Affiliations

Norton College of Medicine

Department Of Anesthesiology

Department Of Pathology, Anatomical Pathology

Institute Of Suny Upstate Cancer Research

Department Of Anesthesiology

Norton College Of Medicine

Upstate Medical University

NoneOla El-zammar is currently serving as a Anesthesiology faculty at Upstate Medical University.

Honors

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Experiences

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Education

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Ola El-Zammar

Upstate Medical University

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pathology lung cancer thoracic oncology radiology cancer imaging digital pathology oncology computer-aided diagnosis histopathology medical image computing biomedical informatics medical image analysis cancer research bronchial neoplasm oncologic imaging respiratory medicine surgical pathology molecular diagnostics malignant disease lung adenocarcinoma anatomical pathology clinical case report biomedical data science infectious diseases dermatology diagnosis tumor biology hematology orthopedic surgery clinical microbiology cancer cells clinical investigation image representation gynecologic oncology vascular biology digestive diseases cancer discovery pulmonary diseases disease diagnosis granulocyte cytopathology pathologic lesions molecular pathology skin cancer melanoma ulcerative colitis veterinary pathology pulmonary vascular disease multiple pulmonary nodule fibrosis human pathology clinical case presentation respiration (physiology) ventilation hypoxia (medicine) tissue oxygenation immunochemistry tumoral pathology lymphoid neoplasia case studies clinical translation granulomatous lung disease pathological diagnosis malignant melanocytic lesions survivin immunoreactivity histologic predictors chronic ulcerative colitis pulmonary meningothelial-like nodules bronchiolitis obliterans-organizing pneumonia comparative study diffuse alveolar damage lung diseases proliferative activity clinicopathologic features assessing egfr status low-grade fibromyxoid sarcoma

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 4153: Advancing Precision Oncology Through Tumor Digital Twins: A Versatile Vit-Determined Margin-Consistent Model for Lung Adenocarcinoma Histopathologic Subtyping in Hematoxylin-Eosin Images. Cancer Research (2026)

lung cancerabstract 4153bronchial neoplasmcancer imagingoncologycancer researchtumor digital twinsoncologic imagingthoracic oncologyradiologydigital pathologyprecision oncologycancer discoverymedical imagingpathology

Abstract 81: Clinical-Grade Quality Control and Stain Harmonization Enhancement in Whole-Slide Images of Lung Cancer Using Deep Learning.. Cancer Research (2026)

lung cancercomputer-aided diagnosisbiomedical imagingcancer imagingmedical image computingradiation oncologymedical image analysisstain harmonization enhancementthoracic oncologyclinical-grade quality controldigital image processingradiologyimage analysisdigital pathologyconvolutional neural networksmedical imagingdeep learning

AI-Powered Prognostic Index Predicts Immunotherapy Response in Nsclc Using Pd-L1 and Clinical Data. Journal of Pathology Informatics (2026)

biomedical informaticsprognosisbiomarker discoveryprognostic evaluationimmunotherapyimmunologyprognostic biomarkerspathologybiomarkers

Integrating Fuzzy Scoring for Patching With Ensemble Learning to Refine Histopathological Subtyping of Lung Adenocarcinoma. International Journal of Imaging Systems and Technology (2026)

lung cancerbiomedical data sciencebiostatisticsrefine histopathological subtypingimage analysisbiomedical informaticspredictive analyticsdata sciencesoft computingensemble algorithmspattern recognitioncomputer-aided diagnosismachine learning researchdata miningmachine learningthoracic oncologylung adenocarcinomadigital pathologydigital medicine

Margin-Consistent Deep Subtyping of Invasive Lung Adenocarcinoma via Perturbation Fidelity in Whole-Slide Image Analysis. Open MIND (2026)

lung cancercomputer-aided diagnosisbiomedical imagingcancer imagingperturbation fidelitymedical image computingradiation oncologymedical image analysisinvasive lung adenocarcinomaimage-guided interventionswhole-slide image analysisthoracic oncologyradiologyimage analysisdigital pathologymedical imagingdeep learning

Perturbation Constancy-Driven Deep Learning for Robust Lung Adenocarcinoma Subtyping. Journal of Pathology Informatics (2026)

biomedical informaticslung cancercomputer-aided diagnosismachine learningdata scienceconvolutional neural networksdeep learning

Robust Histopathology Subtyping via Perturbation Fidelity in Deep Classifier. Journal of Imaging Informatics in Medicine (2026)

perturbation fidelitymedical image computingdata sciencedigital pathologydeep learning

A Case of Pseudogout Causing Thoracic Myelopathy. Cureus (2025)

Attention-Driven Multi-Scale Analysis for Accurate Tumor Classification in Digital Pathology.. Journal of Clinical Oncology (2025)

molecular diagnosticscomputer-aided diagnosiscancer imagingoncologyradiation oncologycancer researchmedical image analysisdata scienceradiologyimage analysisdigital pathology

Author Correction: Predicting the Tumor Microenvironment Composition and Immunotherapy Response in Non-Small Cell Lung Cancer From Digital Histopathology Images. npj Precision Oncology (2025)

lung cancermolecular diagnosticscancer imagingoncologyimmunotherapy responseauthor correctiononcologic imagingdigital histopathology imagesthoracic oncologyradiologytumor microenvironmentclinical translationpathology

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Ola El-Zammar

Upstate Medical University

Affiliations

Norton College of Medicine

Department Of Anesthesiology

Department Of Pathology, Anatomical Pathology

Institute Of Suny Upstate Cancer Research

Department Of Anesthesiology

Norton College Of Medicine

Upstate Medical University

NoneOla El-zammar is currently serving as a Anesthesiology faculty at Upstate Medical University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ola El-Zammar

Upstate Medical University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 81: Clinical-Grade Quality Control and Stain Harmonization Enhancement in Whole-Slide Images of Lung Cancer Using Deep Learning.. Cancer Research (2026)

AI-Powered Prognostic Index Predicts Immunotherapy Response in Nsclc Using Pd-L1 and Clinical Data. Journal of Pathology Informatics (2026)

biomedical informaticsprognosisbiomarker discoveryprognostic evaluationimmunotherapyimmunologyprognostic biomarkerspathologybiomarkers

Integrating Fuzzy Scoring for Patching With Ensemble Learning to Refine Histopathological Subtyping of Lung Adenocarcinoma. International Journal of Imaging Systems and Technology (2026)

Margin-Consistent Deep Subtyping of Invasive Lung Adenocarcinoma via Perturbation Fidelity in Whole-Slide Image Analysis. Open MIND (2026)

Perturbation Constancy-Driven Deep Learning for Robust Lung Adenocarcinoma Subtyping. Journal of Pathology Informatics (2026)

biomedical informaticslung cancercomputer-aided diagnosismachine learningdata scienceconvolutional neural networksdeep learning

Robust Histopathology Subtyping via Perturbation Fidelity in Deep Classifier. Journal of Imaging Informatics in Medicine (2026)

perturbation fidelitymedical image computingdata sciencedigital pathologydeep learning

A Case of Pseudogout Causing Thoracic Myelopathy. Cureus (2025)

Attention-Driven Multi-Scale Analysis for Accurate Tumor Classification in Digital Pathology.. Journal of Clinical Oncology (2025)

molecular diagnosticscomputer-aided diagnosiscancer imagingoncologyradiation oncologycancer researchmedical image analysisdata scienceradiologyimage analysisdigital pathology

Author Correction: Predicting the Tumor Microenvironment Composition and Immunotherapy Response in Non-Small Cell Lung Cancer From Digital Histopathology Images. npj Precision Oncology (2025)

1
2
3
10 / page