2 papers
cs.LG2026
OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology
Pietro Belligoli, Nikita Makarov, Sayedali Shetab Boushehri +3
Precision medicine in ophthalmology requires accurate longitudinal predictions, but the fragmented nature of multimodal clinical data remains a barrier to forecasting. We introduce…
cs.LG2025
Development of a graph neural network surrogate for travel demand modelling
Nikita Makarov, Santhanakrishnan Narayanan, Constantinos Antoniou
As urban environments grow, the modelling of transportation systems becomes increasingly complex. This paper advances the field of travel demand modelling by introducing advanced G…