[Feb 17th 2021] LabMeeting: Modeling polypharmacy side effects with graph convolutional networks

Niccolò Pancino (University of Siena)

When: Feb 17, 2021 – 11:45 – 12:30 AM
Where: Google meet link

The use of drug combinations, or polypharmacy, is common to treat patients with complex diseases. However, a major consequence of polypharmacy is a much higher risk of adverse side effects for the patient. Polypharmacy side effects emerge because of drug–drug interactions, in which activity of one drug may change, favorably or unfavorably, if taken with another drug. The knowledge of drug interactions is often limited because these complex relationships are rare and usually not observed in relatively small clinical testing. Discovering polypharmacy side effects thus remains an important challenge with significant implications for patient mortality and morbidity.

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