1 paper mentions it2 findings
See all 1 papers on structural biophysical parameters
“In the critical test of structural validity, a model using only structural features (excluding glucose and HbA1c from inputs) predicted prediabetes with AUC=0.856”
Associations
2Metabolic dysfunction markers
upin humans1
1 study
Metabolic dysfunction markers
upin humans1
Structural biophysical parameters are associated with metabolic dysfunction markers in humans within 2,847 subjects meeting all conventional normal criteria (BMI <25, HbA1c <5.7%) (10.9-fold elevated, p<10−61).
“within 2,847 subjects meeting all conventional "normal" criteria (BMI <25, HbA1c <5.7%), structural parameters identified a high-risk subgroup with 10.9-fold elevated metabolic dysfunction markers”
Humanswithin 2,847 subjects meeting all conventional normal criteria (BMI <25, HbA1c <5.7%)n = 2,847
Structural biophysical parameters for pre-disease metabolic dysfunction detection
Zenodo (CERN European Organization for Nuclear Research)Preprint
Prediabetes
upin humans1
1 study
Prediabetes
upin humans1
Structural biophysical parameters predict prediabetes in humans (excluding glucose and HbA1c from inputs) (AUC=0.856).
“In the critical test of structural validity, a model using only structural features (excluding glucose and HbA1c from inputs) predicted prediabetes with AUC=0.856”
Humansexcluding glucose and HbA1c from inputsn = 7,939
Structural biophysical parameters for pre-disease metabolic dysfunction detection
Zenodo (CERN European Organization for Nuclear Research)Preprint