Publications by authors named "Aswathi Kumar"
The United States Medical Licensing Examination (USMLE) is a critical step in assessing the competence of future physicians, yet the process of creating exam questions and study materials is both time-consuming and costly. While Large Language Models (LLMs), such as OpenAI's GPT-4, have demonstrated proficiency in answering medical exam questions, their potential in generating such questions remains underexplored. This study presents QUEST-AI, a novel system that utilizes LLMs to (1) generate USMLE-style questions, (2) identify and flag incorrect questions, and (3) correct errors in the flagged questions.
View Article and Find Full Text PDFArticle Synopsis
- Metabolic syndrome affects over a third of adults and increases the risk of diabetes, heart disease, and mortality, with muscle insulin resistance being a key factor in its development.
- Research in mice suggests that the phospholipid composition of skeletal muscle sarcoplasmic reticulum (SR) impacts insulin sensitivity.
- A study comparing skeletal muscle SR from sedentary individuals with and without metabolic syndrome revealed lower levels of specific phosphatidylcholine (PC) and phosphatidylethanolamine (PE) in those with metabolic syndrome, especially in females, linking decreased SR PC content to higher insulin resistance.
Background/objective: Maturity-onset diabetes of the young type 5 (MODY5) is caused by a hepatocyte nuclear factor 1β (HNF1β) gene mutation on chromosome 17q12. HNF1β mutations have also been found in ovarian clear cell carcinoma, whereas ovarian non-clear cell carcinoma expresses this mutation rarely. 17q12 recurrent deletion syndrome features include MODY5, urogenital anomalies, and psychiatric and neurodevelopmental disorders.
View Article and Find Full Text PDF