28 citations · 29 across the 3 of their papers we have counts for
3 papers
Deep Normed Embeddings for Patient Representation
Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead +1
We introduce a novel contrastive representation learning objective and a training scheme for clinical time series. Specifically, we project high dimensional EHR. data to a closed u…
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Thesath Nanayakkara, Gilles Clermont, Christopher James Langmead +1
Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the…
Dynamics of Acute Inflammation
Rukmini Kumar, Gilles Clermont, Yoram Vodovotz +1
When the body is infected, it mounts an acute inflammatory response to rid itself of the pathogens and restore health. Uncontrolled acute inflammation due to infection is defined c…