DoseTailor uses interpretable AI for tacrolimus dosing
DoseTailor for personalised tacrolimus dose optimisation across multicentre populations using interpretable AI
Interpretability is the differentiator here: dosing models that explain their predictions are far easier to slot into clinical workflows than black-box alternatives, which matters in transplant medicine where tacrolimus has a narrow therapeutic window. Clinicians, clinical pharmacists and hospital AI teams evaluating decision-support tools can use the paper as a reference design for explainable dose recommendations.
npj Digital Medicine published the DoseTailor study online on 22 Sep 2026.
The research addresses dose optimisation of tacrolimus, an immunosuppressant used in transplant care.The model was trained on multicentre population data using interpretable AI methods.
It outputs individualised dose recommendations together with explanations so clinicians can understand the basis of each prediction.
The paper is available under DOI 10.1038/s41746-026-03244-7.
DoseTailor for personalised tacrolimus dose optimisation across multicentre populations using interpretable AI
npj Digital Medicine, Published online: 22 September 2026; doi:10.1038/s41746-026-03244-7 DoseTailor for personalised tacrolimus dose optimisation across multicentre populations using interpretable AI
This report is categorized under AITOP's "Papers" desk. Key entities and technical topics under continuous tracking include DoseTailor, tacrolimus, interpretable AI, digital medicine.
Source attribution: curated from npj Digital Medicine (@Alvaro Goyanes).