Open-source machine learning tool connects drug targets with adverse reactions
A multi-institutional group of researchers led by Harvard Medical School and the Novartis Institutes for BioMedical Research has created an open-source machine learning tool that identifies proteins associated with drug side effects.
The work, published June 18 in the Lancet journal EBioMedicine, offers a new method for developing safer medicines by identifying potential adverse reactions before drug candidates reach human clinical trials or enter the market as approved medicines.
The findings also offer insights into how the human body responds to drug compounds at the molecular level in both desired and unintended ways. Continue at HMS News