Grants per year
Personal profile
Research Interests
My lab performs research and clinical testing using mass spectrometry methods, develops new assays, and applies data analytics to enable improved quality and efficiency. My computational pathology efforts are aimed at building the capacity for advanced data analytics in the department through innovations in infrastructure, education, and research to facilitate data-informed decision making for clinical care, operations, and quality assurance.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Michigan State University
… → 2002
Research interests keywords
- Genomic Medicine/Personalized Medicine
- Information Systems
- Medical Education
- Metabolism
- Pathology
- Pediatrics
- Systems Biology
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Collaborations and top research areas from the last five years
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Grants
- 4 Finished
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Prognostic Biomarkers to Predict Progression of Pediatric Chronic Kidney Disease
Brooks, E. R. (PD/PI), Haymond, S. (Co-Investigator) & Langman, C. (Co-Investigator)
National Institute of Child Health and Human Development
6/15/13 → 9/30/15
Project: Research project
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Prognostic Biomarkers to Predict Progression of Pediatric Chronic Kidney Disease
Brooks, E. R. (PD/PI), Haymond, S. (Co-Investigator) & Langman, C. (Co-Investigator)
National Institute of Child Health and Human Development
6/15/13 → 9/30/15
Project: Research project
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Utilization and Cost-effectiveness of the Transcutaneous Bilirubinometry in the Primary Care Setting
Haymond, S. (PD/PI)
8/31/12 → 9/30/14
Project: Research project
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Diving into Data Science: A Clinical Laboratory Update
Krumm, N., Bazydlo, L. A. L., Bunch, D. R., Haymond, S. & Holmes, D. T., Jan 1 2023, In: Journal of Applied Laboratory Medicine. 8, 1, p. 1-2 2 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Do You See What I See? Automated IFE Interpretation Using Machine Learning
Master, S. R. & Haymond, S., Feb 1 2023, In: Clinical chemistry. 69, 2, p. 113-115 3 p.Research output: Contribution to journal › Editorial › peer-review
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Machine Learning in Laboratory Medicine: Recommendations of the IFCC Working Group
Master, S. R., Badrick, T. C., Bietenbeck, A. & Haymond, S., Jul 1 2023, In: Clinical chemistry. 69, 7, p. 690-698 9 p.Research output: Contribution to journal › Article › peer-review
Open Access30 Scopus citations -
Proceedings of the Association for Pathology Informatics Bootcamp 2022
Obstfeld, A. E., Brodsky, V., Carter, A. B., Gershkovich, P., Haymond, S., Levy, B., Sinard, J., Sellers, D., Stoffel, M. & Jackups, R., Jan 2023, In: Journal of Pathology Informatics. 14, 100331.Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations -
A rapid LC-MS/MS assay for detection and monitoring of underivatized branched-chain amino acids in maple syrup urine disease
Piri-Moghadam, H., Miller, A., Pronger, D., Vicente, F., Charrow, J., Haymond, S. & Lin, D. C., Apr 2022, In: Journal of Mass Spectrometry and Advances in the Clinical Lab. 24, p. 107-117 11 p.Research output: Contribution to journal › Article › peer-review
Open Access12 Scopus citations