Tremendous innovation is underway among a rapidly expanding repertoire of promising
personalized immune-based treatments. Therapeutic cancer vaccines (TCVs) are attractive …

In recent decades pharmaceutics and drug delivery have become increasingly critical in the
pharmaceutical industry due to longer time, higher cost, and less productivity of new …

Artificial Intelligence (AI)-based formulation development is a promising approach for
facilitating the drug product development process. AI is a versatile tool that contains multiple …

Pharmacometrics (PM) and machine learning (ML) are both valuable for drug development
to characterize pharmacokinetics (PK) and pharmacodynamics (PD). Pharmacokinetic …

The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …

Highlights•PBPK modeling bridges drug properties and PK behaviours in drug discovery
and development.•The PBPK is often used in oral formulation development, to address …

Methods that utilize machine learning and artificial intelligence have transformed a wide
variety of fields, including the field of toxicology. Physiologically based pharmacokinetic …

Angiogenesis is a highly regulated multiscale process that involves a plethora of cells, their
cellular signal transduction, activation, proliferation, differentiation, as well as their …

One of the objectives of Pharmacometry (PMX) population modeling is the identification of
significant and clinically relevant relationships between parameters and covariates. Here …

The clinical (re) development of bacteriophage (phage) therapy to treat antibiotic-resistant
infections faces the challenge of understanding the dynamics of phage-bacteria interactions …