2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins
Nikita Makarov, Maria Bordukova, Lena Voith von Voithenberg +11
Precision oncology requires forecasting clinical events and trajectories, yet modeling sparse, multi-modal clinical time series remains a critical challenge. We introduce TwinWeave…
Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models
Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban +4
The BioCreative VII Track 3 challenge focused on the identification of medication names in Twitter user timelines. For our submission to this challenge, we expanded the available t…