… By training on data from manufacturing processes, equipment … predict equipment failure,
product quality deviations, or process … process is governed by the molecular features of the drug. …

… The first AI application in pharmaceutical R&D was initially in molecular biology and chemistry,
which was employed to predict the sequencing of secondary protein structures in 1998 […

… 21st centuries, driven by the rapid growth of stored data (“big data”), a … techniques for
small-molecule drug discovery. (iv) It attempts to look ahead to new possibilities of AI-assisted drug …

In the context of the recent pandemic, the necessity of inexpensive and easily accessible
rapid-test kits is well understood and need not be stressed further. In light of this, we report a …

… The efficacy and effectiveness of a drug molecule relies on … The effects of the pH value
and storage duration were used to … into pharmaceutical sciences will give us the instruments …

… devices offer numerous advantages over traditional methods, … the processes of production,
mixing, transfer, and storage, and … For this reason, different artificial intelligence-based tools …

… applications of artificial intelligence-based methods to overcome … Instance-based or
memory-based methods are part of the … the safe use of medical devices using AI techniques [56]. …

… in calculators and other computational instruments [24,25]. … a layer of complexity when it
comes to data storage security. … , the discovered small drug molecule entered Phase 1 clinical …

… Indeed, the solubility of a drug molecule was previously predicted using the compound’s
log P, … The manufacturing floor comprises the equipment, process analytical technology (PAT) …

… modeling small molecule data to get the improved output of AI methods in drug discovery. …
units (GPUs) like NVIDIA DGX™A100, NVIDIA Clara™ Discover, etc. are devices that fall …