Developing precision medicine models to accelerate drug discovery in immune diseases
Mayte Suarez-Farinas
, Icahn School of Medicine at Mount Sinai

In an ideal world, the newest and most effective drugs for chronic inflammatory conditions would immediately help everyone who took them. Unfortunately, in the real world, it can take several months to determine whether a given patient will respond to one of these medications, which target specific components of the immune system. That time lag extends the length and cost of clinical trials. It also means that patients must often waste valuable time trying different drugs, each with its own potential side effects, before finding the right one. Using gene expression data from psoriasis patients we have develop machine learning models that accurately predict the medium-term efficacy profile after a short term treatment.