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In-silico approaches to assessing multiple high-level drug-drug and drug-disease adverse drug effects.

Xuan XuJim E RiviereShahzad RazaNuwan Indika Millagaha GedaraRemya Ampadi RamachandranLisa A TellGerald J WyckoffMajid Jaberi-Douraki
Published in: Expert opinion on drug metabolism & toxicology (2024)
approaches and requiring compliance with regulations and AI adoption. Systematic use of statistical analyses enables identifications of potential risks with drugs. Frequentist and Bayesian methods are used in disproportionalities, each with its strengths and weaknesses. Integration of pharmacogenomics with pharmacovigilance enables personalized medicine, with AI further enhancing patient engagement. This multidisciplinary approach holds promise, improving drug efficacy and safety, and should be a core mission of One-Health studies.
Keyphrases
  • adverse drug
  • electronic health record
  • drug induced
  • emergency department
  • healthcare
  • artificial intelligence
  • public health
  • machine learning
  • climate change
  • case control