Molecular Diagnostics Research Laboratory
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About
Independent research program which focuses on cancer molecular diagnostics and is funded by federal and non-federal sources.
Key Research Areas
- Melanoma
- ctDNA
- Immunophenotyping
- Artificial Intelligence
- Machine Learning
Current Projects
- Biomarkers of Therapeutic Response in Melanoma Research Program: These programs are focused on transitioning established basic science into clinical applications. Specifically, our studies are investigating the potential for use of kinetic changes in plasma circulating tumor DNA and peripheral mononuclear cell phenotypes as diagnostic biomarkers for use in prognostication of therapeutic response and early detection of drug resistance.
- Machine Learning and AI: Studies are directed towards applying machine learning and artificial intelligence technologies towards the improvement of laboratory efficiencies and multi-factorial diagnoses. Currently, we are developing machine learning and artificial intelligence methods for automated interpretation of serum protein and immuno-fixation electrophoresis gels.
Recent Publications
- Egger, ME., Alexander, E., Van Meter, T., Kong, MA., Maung, A., Valdes, RJr., Hall M and Linder, MW. Corresponding ctDNA and tumor burden dynamics in metastatic melanoma patients on systemic treatment. Translational Oncology 2024 Vol. 42 Pages 101883. https://doi.org/10.1016/j.tranon.2024.101883
- Alexander, E., Miller , H., Egger, ME., Smith, M., Yaddanapudi, K., and Linder, MW. The correlation between plasma circulating tumor DNA and radiographic tumor burden. The Journal of Molecular Diagnostics, 2024 (26)11: 952-961.
Team
- Mark Linder, PhD
- Hunter Miller, PhD