Virtual Seminar with Rishi Kamaleswaran: “Forecasting Patient Trajectories: Leveraging Irregularly Sampled, Multimodal Time-Series for Clinical Foundation Models”
As in-patient environments generate vast amounts of heterogeneous data, ranging from continuous physiological telemetry to sparsely sampled medical imaging, there is a profound opportunity to translate this information into actionable clinical foresight. This talk will focus on the development of novel foundation models and transformer architectures designed to handle the temporal complexities of longitudinal hospital data.
