Ultra-rapid insulin lispro is an innovative insulin analogue designed to achieve rapid onset and short duration of action, aimed at optimizing glycemic control in patients with diabetes. This was a double-blind, randomized, 2-period, crossover clamp study to evaluate the pharmacokinetics (PK) and pharmacodynamics (PD), along with safety profiles, of a potential biosimilar ultra-rapid insulin lispro compared to the reference product in healthy White men. A total of 35 healthy volunteers completed hyperinsulinemic euglycemic clamp procedures across both study periods.
View Article and Find Full Text PDFThis was an open-label, randomized, single-dose, 2-period, crossover clinical trial with an adaptive design to evaluate the bioequivalence and comparative pharmacokinetics of generic glecaprevir/pibrentasvir versus the brand name product in healthy White male and female volunteers under fed conditions. Safety profiles were also assessed. A total of 56 healthy adult volunteers were enrolled and randomly assigned in a 1:1 ratio to receive a single dose of either the generic or reference formulation.
View Article and Find Full Text PDFWeather has significant impact on plant growth and development. It is important to analyze the influence of changing climate conditions on the expression of plant agronomic characters. Two flax varieties were grown from 1987 to 2018 in the Northwest of Russia.
View Article and Find Full Text PDFIntroduction: Tyrosine kinase inhibitor (TKI) therapy has greatly improved the prognosis of patients with chronic myeloid leukemia (CML), improving the survival expectancy of patients with chronic phase (CP) CML to that of the general population. However, despite these advances, nearly 50% of patients with CP CML experience failure to respond to frontline therapy, and most fail to respond to the subsequent second-line TKI. Treatment guidelines for patients failing second-line therapy are lacking.
View Article and Find Full Text PDFAccurate information about growing crops allows for regulating the internal stocks of agricultural products and drawing strategies for negotiating agricultural commodities on financial markets. Machine learning methods are widely implemented for crop type recognition and classification based on satellite images. However, field classification is complicated by class imbalance and aggregation of pixel-wise into field-wise forecasting.
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