Natural language processing (NLP) is an area of artificial intelligence that applies
information technologies to process the human language, understand it to a certain degree …

Abstract Model-informed precision dosing (MIPD) stands as a significant development in
personalized medicine to tailor drug dosing to individual patient characteristics. MIPD moves …

Consensus guidelines recommend use of granulocyte colony stimulating factor in patients
deemed at risk of chemotherapyinduced neutropenia, however, these risk models are …

Pharmacometrics and the utilization of population pharmacokinetics play an integral role in
model-informed drug discovery and development (MIDD). Recently, there has been a …

Purpose: Unpredictable drug efficacy and safety of combined antiepileptic therapy is a major
challenge during pharmacotherapy decisions in everyday clinical practice. The aim of this …

Recently, the use of machinelearning (ML) models for pharmacokinetic (PK) modeling has
grown significantly. Although most of the current approaches use ML techniques as black …

The trustworthiness of artificial intelligence (AI) has been challenged for quite some time.
The AI results will be trustworthy and reliable if trust-related principles are built into the AI …

Although temperature can significantly affect the stability and degradation of drug
nanosuspensions, temperature evolution during the production of drug nanoparticles via wet …

Abstract Machine Learning (ML) is a fast-evolving field, integrated in many of today's
scientific disciplines. With the recent development of neural ordinary differential equations …

Exposure-response (ER) is a key aspect of pharmacometrics analysis that supports drug
dose selection. Currently, there is a lack of understanding of the technical considerations …