Kevin Troyanos

https://www.pm360online.com/innovators-2017-products/?GTTabs=19

TrueTargetML harnesses the potential of machine learning for the purposes of predictive HCP marketing. Machine learning algorithms can simultaneously pore over millions of data points and paint a detailed picture of which patterns, behaviors, and demographics are most relevant to predicting future behaviors. Marketers can then use these insights to make hyper-specific behavioral predictions, literally pinpointing the HCPs… Show more

https://www.pm360online.com/innovators-2017-products/?GTTabs=19

TrueTargetML harnesses the potential of machine learning for the purposes of predictive HCP marketing. Machine learning algorithms can simultaneously pore over millions of data points and paint a detailed picture of which patterns, behaviors, and demographics are most relevant to predicting future behaviors. Marketers can then use these insights to make hyper-specific behavioral predictions, literally pinpointing the HCPs most likely to adopt a new treatment or therapy—and ultimately craft marketing strategies and tactics on the basis of those predictions. TrueTargetML has now been used by more than 20 brands. In one case, SSW found that more than half of communications in one channel were being executed against practitioners who, according to the specific model trained for that brand, had almost no chance of adopting the brand in question—an insight which enabled the client to direct their budget where the potential was much greater.

LapsePredictML uses machine learning to improve pharma’s ability to tackle non-adherence. The first step to building LapsePredictML required SSW to develop probabilistic models that faithfully represented patterns of patient non-adherence in the real-world. Then they trained multiple algorithms to make predictions about the likelihood of patients persisting with their medications based on a range of different inputs such as the patient’s payer type, geography, and out-of-pocket costs. Now, LapsePredictML is able to lay important groundwork by informing the development of data-driven, individualized communication strategies whose end goal is to combat medication non-adherence. Show less

https://www.mahf.com/future-famers-inductees/

Mathematics