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Found 3 papers, 3 papers with code
Peptide Binding Classification on Quantum Computers
By constructing quantum models based on parameterised quantum circuits we perform sequence classification on a task relevant to the design of therapeutic proteins, and find competitive performance with classical baselines of similar scale.
Deep Normed Embeddings for Patient Representation
We introduce a novel contrastive representation learning objective and a training scheme for clinical time series.
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage.
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