Objectives: Diagnostic error is a global emergency. Context specificity is likely a source of the alarming rate of error and refers to the vexing phenomenon whereby a physician can see two patients with the same presenting complaint, identical history and examination findings, but due to the presence of contextual factors, decides on two different diagnoses. Studies have not empirically addressed the potential role of context specificity in management reasoning and errors with a diagnosis may not consistently translate to actual patient care.
View Article and Find Full Text PDF• hiPSC-CM offer an alternative to in vivo models for predicting cardiotoxicity. • hiPSC-CM monolayers detect pro-arrhythmic effects; inotropic detection is less established. • Cardiac spheroids and engineered tissue may suit chronic cardiotoxicity studies (>2 weeks).
View Article and Find Full Text PDFBackground: Despite the frequent diagnostic delays of rare neurologic diseases (RND), it remains difficult to study RNDs and their comorbidities due to their rarity and hence the statistical underpowering. Affecting one to two in a million annually, stiff person syndrome (SPS) is an RND characterized by painful muscle spasms and rigidity. Leveraging underutilized electronic health records (EHR), this study showcased a machine-learning-based framework to identify clinical features that optimally characterize the diagnosis of SPS.
View Article and Find Full Text PDFArrhythmic sudden cardiac death (SCD) is an important cause of mortality following myocardial infarction (MI). The rabbit has similar cardiac electrophysiology to humans and is therefore an important small animal model to study post-MI arrhythmias. The established approach of surgical coronary ligation results in thoracic adhesions that impede epicardial electrophysiological studies.
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