28 citations · 28 across the 3 of their papers we have counts for
3 papers
Structure-Aligned Protein Language Model
Can Chen, David Heurtel-Depeiges, Robert M. Vernon +3
Protein language models (pLMs) pre-trained on vast protein sequence databases excel at various downstream tasks but often lack the structural knowledge essential for some biologica…
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…