Background: Therapeutic drug monitoring (TDM) and model-informed precision dosing
(MIPD) have greatly benefitted from computational and mathematical advances over the …

Due to popular successes (eg, ChatGPT) Artificial Intelligence (AI) is on everyone's lips
today. When advances in biotechnology are combined with advances in AI unprecedented …

Artificial intelligence (AI) is a transformative technology used in various industrial sectors
including healthcare. In pharmacy practice, AI has the potential to significantly improve …

Existing warfarin dose prediction algorithms based on pharmacogenetics and clinical
parameters have not been used clinically due to the absence of external validation, lack of …

The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …

It is widely acknowledged that infectious diseases have wrought immense havoc on human
society, being regarded as adversaries from which humanity cannot elude. In recent years …

The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing
requirements. Our goal here was to use noninvasive clinical parameters to predict the dose …

As warfarin has a narrow therapeutic window and obvious response variability among
individuals, it is difficult to rapidly determine personalized warfarin dosage. Adverse drug …

The first aim of this study was to develop a prothrombin time international normalized ratio
(PT INR) prediction model. The second aim was to develop a warfarin maintenance dose …

Background Medication prescription is a complex process that could benefit from current
research and development in machine learning through decision support systems …