most citedA graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

17 citations · 23 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.QM2023★ 17 cited

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi +6

Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge, especially when the ART includes drugs with limited effectiveness data. This sc…

cs.LG2023★ 6 cited

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1

Giulia Di Teodoro, Martin Pirkl, Francesca Incardona +6

Motivation: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or la…