Publications by authors named "M Preuss"
The professional identity of scientists has historically been cultivated to value research over teaching, which can undermine initiatives that aim to reform science education. Course-Based Research Experiences (CRE) and the inclusive Research and Education Communities (iREC) are two successful and impactful reform efforts that integrate research and teaching. The aim of this study is to explicate the professional identity of instructors who implement a CRE within an established iREC and to explore how this identity contributes to the success of these programs.
View Article and Find Full Text PDFBackground: Endovascular procedures are the preferred method for treating peripheral arterial disease. However, limited imaging options during these procedures, such as X-rays and contrast media, expose patients and healthcare professionals to potentially harmful radiation. This study introduces a robotic ultrasound system (RUSS) for navigating endovascular procedures in order to reduce radiation and provide additional information.
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- Latin Americans are often overlooked in genetic studies, which can widen gaps in personalized medicine due to the challenges of accessing genetic data and consent processes.
- The Genetics of Latin American Diversity (GLAD) Project compiles genetic information from over 53,000 individuals across various regions to explore diverse ancestry and gene flow in the Americas.
- GLAD includes a tool called GLAD-match to align external genetic samples with its database while protecting individual privacy, thus supporting more inclusive genomic research and enhancing personalized medicine for Latin Americans.
Article Synopsis
- * The study benchmarks this transformer model against existing models, finding that utilizing AlphaFold protein representations leads to better clustering and model performance compared to raw amino acid sequences, especially in low-data situations.
- * The model successfully generates diverse and potentially active molecules that resemble known ligands while ensuring novelty, and showcases the significance of data augmentation in improving generative model performance.
Article Synopsis
- Whole genome sequencing (WGS) helps identify rare genetic variants that may explain the missing heritability of coronary artery disease (CAD) by analyzing 4,949 cases and 17,494 controls from the NHLBI TOPMed program.
- The study estimates that the heritability of CAD is around 34.3%, with ultra-rare variants contributing about 50%, especially those with low linkage disequilibrium.
- Functional annotations show significant enrichment of CAD heritability, highlighting the importance of ultra-rare variants and specific regulatory mechanisms in different cells as major factors influencing genetic risk for the disease.