Madhavan, Subha

Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Zhang, H., Liu, T., Zhang, Z., Payne, S. H., Zhang, B., McDermott, J. E., Zhou, J.-Y., Petyuk, V. A., Chen, L., Ray, D., et al. (2016) · Cell

Ovarian cancer diagnosis and treatmentAdvanced Proteomics Techniques and Applications

Cited by 1,029

Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities

Vasaikar, S., Huang, C., Wang, X., Petyuk, V. A., Savage, S. R., Wen, B., Dou, Y., Zhang, Y., Shi, Z., Arshad, O. A., et al. (2019) · Cell

Advanced Proteomics Techniques and ApplicationsCancer Genomics and Diagnostics

Cited by 799

Federated learning enables big data for rare cancer boundary detection

Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., et al. (2022) · Nature Communications

Privacy-Preserving Technologies in DataBrain Tumor Detection and Classification

Cited by 394

Molecular Profiling of Patients with Pancreatic Cancer: Initial Results from the Know Your Tumor Initiative

Pishvaian, M. J., Bender, R. J., Halverson, D., Rahib, L., Hendifar, A. E., Mikhail, S., Chung, V., Picozzi, V. J., Sohal, D., Blais, E. M., et al. (2018) · Clinical Cancer Research

Pancreatic and Hepatic Oncology ResearchCancer Genomics and Diagnostics

Cited by 245

A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

Variant Interpretation for Cancer Consortium, Wagner, A. H., Walsh, B., Mayfield, G., Tamborero, D., Sonkin, D., Krysiak, K., Deu-Pons, J., Duren, R. P., Gao, J., et al. (2020) · Nature Genetics

Genomics and Rare DiseasesCancer Genomics and Diagnostics

Cited by 164

Digital Health COVID-19 Impact Assessment: Lessons Learned and Compelling Needs

Microsoft, Lee, P., Abernethy, A., Verily, Shaywitz, D., HealthTech, A., Gundlapalli, A., Prevention, U. S. C. F. D. C. A., Weinstein, J., Healthcare, M., et al. (2022) · NAM Perspectives

COVID-19 Digital Contact TracingHealthcare during COVID-19 Pandemic

Cited by 49

Automated identification of patients with immune-related adverse events from clinical notes using word embedding and machine learning

Gupta, S., Belouali, A., Shah, N. J., Atkins, M. B., & Madhavan, S. (2021) · JCO Clinical Cancer Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

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A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap

Khan, S., Madhavan, S., & Natarajan, K. (2025) · arXiv

Topic ModelingAI-based Problem Solving and Planning

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