University of South Australia

Long-term type 2 diabetes risk prediction using machine learning with childhood, adolescent, and genetic factors

Abstract Late diagnosis of type 2 diabetes increases patient morbidity and healthcare burden, yet current prediction models use adult risk factors to estimate 5–10-year risk. In this manuscript, we evaluate long-term prediction of type 2 diabetes over 38 years using childhood fac...

Vancomycin optimised dosing regimens for critically ill patients receiving renal replacement therapy

Optimal dosing of vancomycin in critically ill patients receiving renal replacement therapy (RRT) is uncertain due to high pharmacokinetic variability. We aimed to develop individualised vancomycin dosing recommendations that optimise efficacy while minimising toxicity. Prospecti...

An audit of professional standards for sport science

Sport is a global industry with athletes supported by sport scientists who have gained the necessary education and experience. However, there is still great variety in the training and career development opportunities for novice and trainee sport scientists to develop their pract...

Aerosol and bioaerosol generation from toilet flushing: A systematic review and risk factor analysis

Toilet flushing is a daily activity that can generate bioaerosols in indoor spaces. This exposure pathway is increasingly important in the context of emerging pathogens, changing water systems, and high indoor occupancy. Stronger empirical evidence is needed to support risk-based...