Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy is a research paper published in Bioengineering & Translational Medicine (2023). On theSindex it has a DataRank of 0. It has been cited 16 times.
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American Heart Association
Grant: 15SFRN23480000
Ministry of Science and Technology, Taiwan
Grant: 109‐2113‐M‐194‐010‐MY3
National Institutes of Health
Grant: 3UL1TR002537‐02S1
National Institutes of Health
Grant: R01EB029756‐01A1
National Institutes of Health
Grant: R01HD089940
National Institutes of Health
Grant: R21HD100685‐01
NIBIB NIH HHS
Grant: R01 EB029756
NCATS NIH HHS
Grant: UL1 TR002537
NICHD NIH HHS
Grant: R21 HD100685
National Institutes of Health
Grant: 1R21HD100685-01
PRADA: Portable Reusable Accurate Diagnostics with nanoAntennas for Multiplexed Biomarker Screening of Preterm Labor
National Institutes of Health
Grant: 5UL1TR002537-02
The University of Iowa Clinical and Translational Science Award
National Institutes of Health
Grant: 5R01HD089940-04
Vasopressin and Preeclampsia: Early Mechanisms for Prevention
National Institutes of Health
Grant: 1R01EB029756-01A1
Developing Multimodal Multiplexed ImmunoPET-Raman Probes to Guide Immunotherapies
Fields of Study
Keywords
Sustainable Development Goals
Raman spectral data from healthy pregnant patient plasma throughout pregnancy
Raman spectral data from healthy pregnant patient plasma throughout pregnancy