This presentation discusses the application of artificial intelligence for environmental monitoring during pharmaceutical manufacturing. The APAS Independence is a laboratory automation device that uses advanced imaging and machine learning algorithms to interpret microbial growth on culture plates.
This presentation discusses the opportunity to improve environmental monitoring plate reading workflows at AstraZeneca through the use of artificial intelligence for automated reading of agar plates using APAS PharmaQC.
Microbiological methods remain deeply rooted in traditional practices and new technologies are being considered to improve the agility, accuracy, consistency, and data integrity within pharmaceutical laboratories.
A key foundation to Good Manufacturing Practice, is the execution and routine review of a robust environmental monitoring program. This takes the form of collecting environmental samples from surfaces, personnel and the cleanroom air, whether that be active or passive...
This study assessed the performance of the APAS Independence with PharmaQC analysis module to identify growth on TSA culture media. The study assessed the performance on 1,515 environmental monitoring plates collected at AstraZeneca’s manufacturing facility during routine production.
Nitroxoline is one of the recommended first-line drugs for the treatment of uncomplicated urinary tract infections (uUTIs), but it is not included in the usual panels of automated susceptibility testing (AST) platform systems, such as MicroScan or Vitek.
Direct antimicrobial susceptibility testing (dAST) from urine samples using disc diffusion methods is in widespread use in some countries, allowing for the provision of results earlier than traditional AST methods, at a lower cost.
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