About

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We develop novel network-based models to predict unknown adverse drug events and drug-drug interactions. Instead of waiting for sufficient post-marketing evidence to accumulate, this predictive approach can identify drug safety issues years in advance.

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Selected Publications

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Banda JM, Callahan A, Winnenburg R, Strasberg HR, Cami A, Reis BY, Vilar S, Hripcsak G, Dumontier M, Shah NH. Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records. Drug Saf. 2016 Jan;39(1):45-57.

 

Cami A, Reis BY. Concordance and predictive value of two adverse drug event data sets. BMC Med Inform Decis Mak. 2014 Aug 22;14:74.

 

Cami A, Manzi S, Arnold A, Reis BY. Pharmacointeraction network models predict unknown drug-drug interactions. PLoS One. 2013 Apr 19;8(4):e61468.

 

Cami A, Arnold A, Manzi S, Reis B. Predicting adverse drug events using pharmacological network models. Sci Transl Med. 2011 Dec 21;3(114):114ra127.

 

Reis BY, Olson KL, Tian L, Bohn RL, Brownstein JS, Park PJ, Cziraky MJ, Wilson MD, Mandl KD. A pharmacoepidemiological network model for drug safety surveillance: statins and rhabdomyolysis. Drug Saf. 2012 May 1;35(5):395-406.