Results 151 to 160 of about 1,300,723 (292)
Plasma C peptide in hyperinsulinaemic hypoglycaemia. [PDF]
M Bommen +3 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Postprandial C-peptide is more relevant to hemoglobin A1c levels and diabetic microvascular complications than fasting C-peptide in type 2 diabetes. [PDF]
Wang Z, Deng MQ, Guo LX, Pan Q.
europepmc +1 more source
Biological activities of the peptides obtained by digestion of troponin C and calmodulin with thrombin [PDF]
C. M. Wall, Roger J.A. Grand, S V Perry
openalex +1 more source
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv +10 more
wiley +1 more source
Correlation of C-Peptide Levels With Complications of Type 2 Diabetes Mellitus. [PDF]
Kumar N +6 more
europepmc +1 more source
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao +11 more
wiley +1 more source

