The last few decades have witnessed diversified in vitro models to recapitulate the
architecture and function of living organs or tissues and contribute immensely to advances in …

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

Antibody-based therapeutics (ABTs) are used to treat a range of diseases. Most ABTs are
either full-length IgG1 antibodies or fusions between for instance antigen (Ag)-binding …

Since their inception in pharmaceutical applications, physiologically-based kinetic (PBK)
models are increasingly being used across a range of sectors, such as safety assessment of …

Monoclonal IgG antibodies constitute the fastest growing class of therapeutics. Thus, there is
an intense interest to design more potent antibody formats, where long plasma half-life is a …

Deep learning (DL) algorithms are a subset of machine learning algorithms with the aim of
modeling complex mapping between a set of elements and their classes. In parallel to the …

Abstract Quantitative Systems Pharmacology (QSP) has emerged as a powerful ensemble of
approaches aiming at developing integrated mathematical and computational models …

Amygdalin a naturally occurring compound, predominantly in the bitter kernels of apricot,
almond, apple and other members of Rosaceae family. Though, amygdalin is used as an …

В работе представлены реализации математической модели онкологического
заболевания с учетом интерференционной конкуренции и модели его непрерывного …

Quantitative systems pharmacology (QSP) models are often implemented using a wide
variety of technical workflows and methodologies. To facilitate reproducibility, transparency …