Wang, May D.
Georgia Institute of Technology
13 papers on CoChatORCID 0000-0003-3961-3608
Most cited papers
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In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags
Qian, X., Peng, X.-H., Ansari, D. O., Yin-Goen, Q., Chen, G. Z., Shin, D. M., Yang, L., Young, A. N., Wang, M. D., & Nie, S. (2008) · Nature Biotechnology
Gold and Silver Nanoparticles Synthesis and ApplicationsNanoplatforms for cancer theranostics
Cited by 2,201
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Multimodal deep learning models for early detection of Alzheimer’s disease stage
Venugopalan, J., Tong, L., Hassanzadeh, H. R., & Wang, M. D. (2021) · Scientific Reports
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 732
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Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
Zhang, W., Yu, Y., Hertwig, F., Thierry-Mieg, J., Zhang, W., Thierry-Mieg, D., Wang, J., Furlanello, C., Devanarayan, V., Cheng, J., et al. (2015) · Genome Biology
Gene expression and cancer classificationNeuroblastoma Research and Treatments
Cited by 393
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Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study
Li, S., Tighe, S. W., Nicolet, C. M., Grove, D., Levy, S., Farmerie, W., Viale, A., Wright, C., Schweitzer, P. A., Gao, Y., et al. (2014) · Nature Biotechnology
Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics
Cited by 240
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Detecting and correcting systematic variation in large-scale RNA sequencing data
Li, S., Łabaj, P. P., Zumbo, P., Sykacek, P., Shi, W., Shi, L., Phan, J., Wu, P.-Y., Wang, M., Wang, C., et al. (2014) · Nature Biotechnology
Gene expression and cancer classificationGenomics and Phylogenetic Studies
Cited by 175
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Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence
Tong, L., Shi, W., Isgut, M., Zhong, Y., Lais, P., Gloster, L., Sun, J., Swain, A., Giuste, F., & Wang, M. D. (2024) · IEEE Reviews in Biomedical Engineering
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 130
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Advancing medical imaging informatics by deep learning-based domain adaptation
Choudhary, A., Tong, L., Zhu, Y., & Wang, M. D. (2020) · Yearbook of Medical Informatics
Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques
Cited by 84
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EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
Shi, W., Xu, R., Zhuang, Y., Yu, Y., Zhang, J., Wu, H., Zhu, Y., Ho, J. C., Yang, C., & Wang, M. D. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 54
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Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making
Shi, W., Zhuang, Y., Zhu, Y., Iwinski, H., Wattenbarger, M., & Wang, M. D. (2023) · Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 47
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Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era
Isgut, M., Gloster, L., Choi, K., Venugopalan, J., & Wang, M. D. (2023) · IEEE Reviews in Biomedical Engineering
Data Quality and ManagementArtificial Intelligence in Healthcare and Education
Cited by 35
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Exploration of Quantitative Scoring Metrics to Compare Systems Biology Modeling Approaches
Kaddi, C., Oden, E. D., Quo, C. F., & Wang, M. D. (2007) · 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and Bioproduction
Cited by 5
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MotionTalk: personalized home rehabilitation system for assisting patients with impaired mobility
Venugopalan, J., Cheng, C.-W., & Wang, M. D. (2014) · Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems
Cited by 4
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Leveraging evidence-guided LLMs to enhance trustworthy depression diagnosis
Yuan, Y., Ben Tamo, J., Nnamdi, M. C., Wang, Y., & Wang, M. D. (2025) · 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 0
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