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Predicting biomaterial-implant surgical outcome using medical record and blood-cytokine data
Reference #: 1680 The University of South Carolina is offering licensing opportunities for Predicting biomaterial-implant surgical outcome using medical record and blood-cytokine data. Background: Pelvic organ prolapse (POP), defined as symptomatic descent of the vagina and surrounding pelvic organs, affects approximately 50% of parous women and...
Published: 11/19/2024
|
Inventor(s):
Melissa Moss
,
Mihyun Waugh
,
Nicholas Boltin
,
Lauren Wolf
,
Ronnie Horner
,
Thomas Wheeler
,
Richard Goodwin
,
Robert Gower
Keywords(s):
Category(s):
Biomedical and Life Sciences
,
Advanced Materials
,
Health Sciences
,
Chemistry and Biochemistry
Blood-cytokine levels as adverse outcome predictors following biomaterial implant surgery
Reference #: 01566 The University of South Carolina is offering licensing opportunities for Blood-cytokine levels as adverse outcome predictors following biomaterial implant surgery Background: Despite the high number of patients undergoing reconstruction surgery with surgical mesh and the relatively high number of adverse outcomes, there are currently...
Published: 9/26/2023
|
Inventor(s):
Melissa Moss
,
Mihyun Waugh
,
Nicholas Boltin
,
Lauren Wolf
,
Ronnie Horner
,
Matthew Hermes
,
Thomas Wheeler
,
Richard Goodwin
Keywords(s):
anti-inflammatory biotech
,
anti-inflammatory pharma
,
biomaterial implant
,
Blood samples
,
cytokines
,
implant rejection
,
inflammation
,
pelvic organ prolapse
,
plasma
,
predictive outcome
,
principal component analysis
,
surgical mesh
Category(s):
Health Sciences
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