Memedovich A, Steele B, Orr T, Chaudhry S, Tadrous M, Kesselheim AS, Hollis A, Beall RF - PLOS Medicine
The authors used supervised machine learning techniques to predict Paragraph IV patent challenges within a branded drug’s first year of eligibility, finding that drugs with large market sizes are more likely to face patent challenges in the first year, while anti-infective drugs and those with fast track designations were less likely to be challenged, demonstrating inconsistencies in generic entry across the prescription drug market.
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Costa E, Kesselheim AS - Journal of Law, Medicine, & Ethics
Kirby-Rivera L, Feldman WB, Kim M, Kosmopoulou G, Kesselheim AS, Tu SS - Journal of Law, Medicine, & Ethics
Eisenkraft Klein D, Kesselheim AS - Health Policy