Machine learning

Controlling testing volume for respiratory viruses using machine learning and text mining.

Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children …

We are looking for Masters Students!

We are currently looking for Master’s students in the field of Computer science, Statistics, or bioinformatics for the topic of Developing generative models for structured data such as molecules, proteins, genetics, and graphs. Structured data are everywhere, text, sequences, graphs, molecules, proteins, genetics, and many others. Many real-world problem can be formulated as generating structured data. For instance, generating molecules with specific properties for drug design, and designing antibodies. There has been a surge of research applying machine learning models for molecules, and protein design.

We are looking for Masters Students!

We are currently looking for Master’s students in the field of Computer science, Statistics, or bioinformatics for the topic of Developing Machine Learning Models for Drug Synergy Prediction Drug synergy is a phenomenon where the combined effect of two drugs is greater than the sum of their individual effects. While a vast amount of data exists for single drug effects on cell lines, there is a scarcity of data for drug synergy due to the huge number of possible drug combinations.