… intrinsic parameters are determined those can be incorporated within PBPK models that
facilitate the integration of the drug API/formulation data consisting of the relevant …

… These nanofibers which can be tailored and textile in a form of an integrated patch and
introduced to the wound healing market, are fabricated in a size less than 100 nm in diameter […

… complex data and facilitating during drug discovery and drug design, respectively. In addition,
this form of AI integration allows for addressing the limitations with accurate dose delivery. …

… -integration into our model-building pipeline. All DNN models discussed in this work are
integrated in … chemistry towards a more realistic picture of artificial intelligence in drug discovery. …

… There are a vast number of new platform technologies, and a comprehensive description
of all of them is beyond the scope of this article. However, through a survey of 14 Europe-based …

… as precision medicine, biomarker discovery, and drug screening. … Using a publicly available
comprehensive organism-level … with a higher risk of false discovery. Thus, a DIA study was …

… of ML applications in drug discovery and development, aligned with … drug development
(10). Together with the automation of process pipelines and operational design, the integration …

… The inadequacy in pharmacological evaluation, preclinical and clinical examination of
herbal drugs impedes their integration into contemporary medicinal practices. The preclinical …

… advances the drug discovery and development process at the … mechanism, pharmacokinetic
and pharmacodynamic profiles. … therapeutic drug development, doses regimen, and drug …

… preclinical and clinical systems biology ‘big-data’, an innovative approach deploying AI-integrated
mechanistic models to drug development has markedly increased the predictability of …