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๐ค Presentations
Accelerate Cancer Research With AI-Driven Multimodal Data Integration
NVIDIA GTC 2025 Presentation
๐ Journal Articles
HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven Embeddings
npj Digital Medicine 8(1), 622 (2025).
Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, and Ghulam Rasool
DOI: 10.1038/s41746-025-02003-4Robust Multimodal Fusion for Survival Prediction in Cancer Patients
Cancer Informatics 24, 11769351251376192 (2025).
Dominic Flack, Aakash Tripathi, Asim Waqas, Ghulam Rasool, and Delil Dera
DOI: 10.1177/11769351251376192Self-Normalizing Multi-Omics Neural Network for Pan-Cancer Prognostication
International Journal of Molecular Sciences 26(15), 7358 (2025).
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Joseph O. Johnson, Paul Stewart, Mia Naeini, Matthew B. Schabath, and Ghulam Rasool
DOI: 10.3390/ijms26157358Transformers in Time-Series Analysis: A Tutorial
Circuits, Systems, and Signal Processing 42(12), 7433โ7466 (2023).
Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ravi P. Ramachandran, and Ghulam Rasool
DOI: 10.1007/s00034-023-02454-8Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets
Sensors 24(5), 1634 (2024).
Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, and Ghulam Rasool
DOI: 10.3390/s24051634A Comparison of Feature Selection Techniques for First-Day Mortality Prediction in the ICU
2023 IEEE International Symposium on Circuits and Systems (ISCAS) , 1โ5 (2023).
Jacob R. Epifano, Alison Silvestri, Alexander Yu, Ravi P. Ramachandran, Aakash Tripathi, and Ghulam Rasool
DOI: 10.1109/ISCAS46773.2023.10182228Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Frontiers in Artificial Intelligence 7, 1408843 (2024).
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, Paul Stewart, and Ghulam Rasool
DOI: 10.3389/frai.2024.1408843๐งฉ Abstracts
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology
Cancer Research 84(6_Supplement), 908โ908 (2024).
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Paul Stewart, Mia Naeini, and Ghulam Rasool
DOI: 10.1158/1538-7445.AM2024-908Multimodal Transformer Model Improves Survival Prediction in Lung Cancer Compared to Unimodal Approaches
Cancer Research 84(6_Supplement), 4905โ4905 (2024).
Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool
DOI: 10.1158/1538-7445.AM2024-4905๐งช Preprints
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
arXiv preprint arXiv:2405.07460 (2024)
Aakash Tripathi, Asim Waqas, Yasin Yilmaz, and Ghulam Rasool
arXiv preprint arXiv:2405.07460Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology
arXiv preprint arXiv:2405.08226 (2024)
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Matthew B. Schabath, and Ghulam Rasool
arXiv preprint arXiv:2405.08226Embedding-Based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes
arXiv preprint arXiv:2406.08521 (2024)
Asim Waqas, Aakash Tripathi, Paul Stewart, Mia Naeini, Matthew B. Schabath, and Ghulam Rasool
arXiv preprint arXiv:2406.08521TheBlueScrubs-v1: A Comprehensive Curated Medical Dataset Derived from the Internet
arXiv preprint arXiv:2504.02874 (2025)
Lucas Felipe, Carlos Garcia, Issam El Naqa, Michael Shotande, Aakash Tripathi, Vineel Rudrapatna, and others
arXiv preprint arXiv:2504.02874EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis
arXiv preprint arXiv:2506.22446 (2025)
Aakash Tripathi, Asim Waqas, Matthew B. Schabath, Yasin Yilmaz, and Ghulam Rasool
arXiv preprint arXiv:2506.22446Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK
arXiv preprint arXiv:2506.11129 (2025)
Carlos Garcia-Fernandez, Lucas Felipe, Michael Shotande, Marcus Zitu, Aakash Tripathi, Ghulam Rasool, and Gilmer Valdes
arXiv preprint arXiv:2506.11129Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts
arXiv preprint arXiv:2507 (2025)
Aakash Tripathi, Ian E. Nielsen, Muhammad Umer, Ravi P. Ramachandran, and Ghulam Rasool
arXiv preprint arXiv:2507Self-Normalizing Deep Learning for Enhanced Multi-Omics Data Analysis in Oncology
Preprints (2025)
Asim Waqas, Aakash Tripathi, Sabeen Ahmed, Ashwin Mukund, Hamza Farooq, Joseph Johnson, Paul Stewart, Mia Naeini, Matthew B. Schabath, and Ghulam Rasool
Preprint DOI:Consensus-Based Reasoning with Locally Deployed LLMs for Structured Data Extraction from Surgical Pathology Reports
Preprint (2025)
Aakash Tripathi, Asim Waqas, Ehsan Ullah, Asma Khan, Farah Khalil, Zarifa Gahramanli Ozturk, Daryoush Saeed-Vafa, Wei-Shen Chen, Marilyn M. Bui, Matthew B. Schabath, and others
Preprint DOI: