In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …

Pharmacokinetic/pharmacodynamic (PK/PD) analysis has proved to be very useful to
establish rational dosage regimens of antimicrobial agents in human and veterinary …

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We
constructed a new predictive model for diabetic kidney diseases (DKD) using AI, processing …

Tuberculosis (TB) is still the number one cause of death due to an infectious disease.
Pharmacokinetics and pharmacodynamics of anti-TB drugs are key in the optimization of TB …

Tuberculosis (TB) elimination requires innovative approaches. The new Global Tuberculosis
Network (GTN) aims to conduct research on key unmet therapeutic and diagnostic needs in …

Background Tuberculosis (TB) is the leading cause of death from a single infectious agent,
with around 1.5 million deaths reported in 2018, and is a major contributor to suffering …

Introduction Therapeutic drug monitoring (TDM) has been recommended for treatment
optimization in tuberculosis (TB) but is only is used in certain countries eg USA, Germany …

Abstract Machine learning (ML) is becoming capable of transforming biomolecular
interaction description and calculation, promising an impact on molecular and drug design …

Background Understanding the impact of drug exposure and susceptibility on treatment
response of multidrug-resistant tuberculosis (MDR-TB) will help to optimise treatment. This …

There has been an increased interest in pharmacokinetics and pharmacodynamics (PKPD)
of anti-tuberculosis drugs. A better understanding of the relationship between drug …