Abstract Generative AI (Gen AI) is shaping the future of marketing. In the next decade, Gen
AI will influence how marketers interact and communicate with customers, help create and …

In the past 40 years, therapeutic antibody discovery and development have advanced
considerably, with machine learning (ML) offering a promising way to speed up the process …

Generative models are undergoing rapid research and application to de novo drug design.
To facilitate their application and evaluation, we present MolScore. MolScore already …

Artificial Intelligence (AI) has revolutionized drug development, personalized prescriptions,
and adverse event prediction in the field of healthcare. Through advanced algorithms and …

Generative models are being increasingly used in drug discovery, very often coupled with
absorption, distribution, metabolism, and excretion (ADME) bioassays or quantitative …

Simple Summary G-quadruplexes (G4s) are guanine-rich, four-stranded nucleic acid
structures that are abundantly found in the promoter region of various oncogenes (cMYC …

Background Qualitative methods are incredibly beneficial to the dissemination and
implementation of new digital health interventions; however, these methods can be time …

The accelerating growth of make-on-demand chemical libraries provides novel opportunities
to identify starting points for drug discovery with virtual screening. However, the recently …

Goal-directed molecular generation is the computational design of novel molecular
structures optimised with respect to a given scoring function. While it holds great promise for …

Machine learning algorithms are used for building quantitative structure‐activity relationship
(QSAR) models; however, these have potential limitations that need to be understood before …