Publications by authors named "A K Ott"
Introduction: In light of the lack of diversity in academic medicine leadership, diversity-related, student-led national medical organizations (NMOs) provide a space for solace and reprieve among common peers while providing an opportunity to develop leadership competencies in a supportive environment. Despite the impact NMOs have had on cultivating generations of leaders in medicine, trainees may not identify opportunities for leadership development that are transferable to future careers in academic medicine.
Methods: We designed and implemented a dynamic 60-minute workshop with an interactive PowerPoint presentation, author-owned video testimonials (from past student leaders of NMOs), two case presentations, and reflection exercises.
Article Synopsis
- The study evaluates the effectiveness of the new EUROLINE Neurologic Syndrome 15 Ag (IgG) test, which adds three new antigens to the existing EUROLINE Paraneoplastic Neurologic Syndrome 12 Ag test.
- The analysis involved testing 194 diagnosed samples and over 100 healthy controls, confirming high sensitivity (89-100%) and specificity (≥99%) for the autoantibodies associated with neurological disorders.
- The findings suggest that this new diagnostic tool can improve the detection of various neuronal autoantibodies, particularly by identifying double positivity for anti-CDR2 and anti-CDR2L, which is linked to paraneoplastic cerebellar degeneration.
Article Synopsis
- Whole Exome Sequencing (WES) is a powerful tool in cancer diagnostics that allows for comprehensive analysis of genes, improving the detection of complex biomarkers compared to traditional panel-based methods.
- A study analyzing tissue specimens across 21 NGS centers showed that, although there was a 76% agreement in somatic variant calling, refining filtering criteria improved this to 88%, highlighting the importance of filter settings in variant detection.
- The reliability of detecting specific genomic changes (like CNAs and complex biomarkers) varied among labs, emphasizing the need for improved bioinformatics processes and collaborative testing to minimize discrepancies in future analyses.
Background: The growing abundance of in vitro omics data, coupled with the necessity to reduce animal testing in the safety assessment of chemical compounds and even eliminate it in the evaluation of cosmetics, highlights the need for adequate computational methodologies. Data from omics technologies allow the exploration of a wide range of biological processes, therefore providing a better understanding of mechanisms of action (MoA) related to chemical exposure in biological systems. However, the analysis of these large datasets remains difficult due to the complexity of modulations spanning multiple biological processes.
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