Geriatric Pharmacology

Prescribing in old age remains primarily based on the evidence generated by intervention trials conducted in relatively healthy and younger study participants. This inevitably curtails the application of the results if these trials to the management of a highly heterogeneous group of multimorbid individuals receiving multiple medications. The rapid increase in the availability of big data and electronic health records over the last decade now allows investigating novel signals of drug efficacy and toxicity in real world older patients populations using artificial intelligence and machine learning techniques to identify hidden drug-drug, drug-disease, and disease-disease interactions.

This Article Collection will solicit articles related to the following subjects. However, we welcome all submissions related to the umbrella topic of artificial intelligence (AI) in geriatric pharmacology:

• Using AI to explore the possibilities of drug repurposing for geriatric patients
• Polypharmacy complications and challenges identified by using AI
  • Possible solutions for these issues also as proposed by AI
• Practical applications of AI in the pharmacological management of older patients in hospital and the community.

Instructions for Authors

The following Article Types will be considered: Research Articles, Review Articles (narrative reviews, systematic reviews and meta-analyses), unique Case Reports, Patient Perspectives, Letters to the Editor, Commentaries and Data Notes.

When submitting your article, please select the Article Collection, ‘Artificial Intelligence for signaling efficacy and toxicity of medications in older patients’ from the drop-down menu on the submission system.

Instructions for AuthorsSubmit an Article