Interpreting Adverse Signals in Diabetes Drug Development Programs

Interpreting Adverse Signals in Diabetes Drug Development Programs

Detection and interpretation of adverse signals during preclinical and clinical stages of drug development inform the benefit-risk assessment that determines suitability for use in real-world situations. This review considers some recent signals associated with diabetes therapies, illustrating the difficulties in ascribing causality and evaluating absolute risk, predictability, prevention, and ...

Interpreting Bayesian Logic Programs

Various proposals for combining first order logic with Bayesian nets exist. We introduce the formalism of Bayesian logic programs, which is basically a simplification and reformulation of Ngo and Haddawys probabilistic logic programs. However, Bayesian logic programs are sufficiently powerful to represent essentially the same knowledge in a more elegant manner. The elegance is illustrated by th...

Interpreting Bayesian Logi Programs

Opioid-related adverse drug events: do parents recognize the signals?

OBJECTIVES Evidence of unrelieved childhood pain, adverse drug events (ADE), and deaths suggest that parents may inadequately respond to pain and opioid-related ADE signals. This study examined parents' recognition and response to pain and ADE signals using both dynamic hypothetical scenarios and real at-home opioid decisions. MATERIALS AND METHODS A total of 514 parents whose children requir...

Development of Ontology for the Representation of Adverse Drug Events of Diabetes Disease

One of the main problems arising in the field of the health is the Adverse Drug Event (ADE). The computer system which aimed to prevent the ADE lacks the ADE knowledge standardization. So the background ADE knowledge is needed. This study presents ADE ontology of diabetes disease which includes the terms relative to the diabetes ADE. Our goal is to organize and structure the information relativ...