Author

Melike Sirlanci

University of Colorado AnschutzORCID 0000-0002-4749-4752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Brandon P. ForemaniD· 1 shared David J. AlbersiD· 1 shared J.N. StrohiD· 1 shared Jay M. J. R. CarriD· 1 shared Jennifer K. BriggsiD· 1 shared Michael M. TymkoiD· 1 shared Philip Neil AinslieiD· 1 shared Richard K.P. BenningeriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

Brandon P. ForemanORCID

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1 paper

Recent·Most cited

Physics-Informed Digital Twin Can Predict Cerebral Blood Flow and Cerebral Vascular Regulation Mechanisms in Neurocritical Care Patients

Jennifer K. Briggs, J.N. Stroh, Soojin Park, Brandon P. Foreman, Michael M. Tymko, Jay M. J. R. Carr, Melike Sirlanci, Philip Neil Ainslie, Richard K.P. Benninger, Tellen D. Bennett, David J. Albers

This paper introduces CereBRLSIM, a digital twin that predicts cerebral blood flow and CVR mechanisms in neurocritical care patients with higher accuracy than machine learning models.

bioRxiv · May 22, 2025 · PreprintBioengineering