Background The remarkable growth of genome-wide association studies (GWAS) has
created a critical need to experimentally validate the disease-associated variants, 90% of …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

Highlights•Protocol features across therapeutic areas and trial phases linked to phase
success.•Supervised machine learning predicts drug transition across clinical trial …

Background Systematic case identification is critical to improving population health, but
widely used diagnosis code–based approaches for conditions like valvular heart disease …

The research into the use of small molecules as drugs continues to be a key driver in the
development of molecular databases, computer-aided drug design software and …

The objectives of this study are to (1) interactively visualize information embedded in patent
texts, and (2) train a high-accuracy multi-label classification algorithm capable of classifying …

An essential goal for programmers is to minimize the cost of identifying and correcting
defects in source code. Code review is commonly used for identifying programming defects …

Distributed Ledger Technologies (DLTs) have rapidly evolved, necessitating comprehensive
insights into their diverse components. However, a systematic literature review that …

Big data is a collection of heterogeneous and autonomous data sources which are available
abundantly in multiple formats. Knowledge discovery and decision-making from the ever …

This chapter introduces sublanguages complementary to the biomedical literature, clinical
notes, and social media. These sublanguages are found in drug labels, descriptions of …