J Am Med Inform Assoc
January 2025
Objective: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean of all symptom embeddings associated with a disease ("ensemble mean").
Materials And Methods: Symptom data for 5 diagnostically challenging pediatric diseases-CHARGE syndrome, Cowden disease, POEMS syndrome, Rheumatic fever, and Tuberous sclerosis-were collected from PubMed. Using the Ada-002 embedding model, disease names and symptoms were translated into vector representations in a high-dimensional space.
Chemotherapeutic agents are widely used to combat breast cancer. However, due to their non-selective biodistribution, their usage is associated with severe adverse effects on healthy tissues. In this study, a chitosan-stabilized nanoemulsion (CSNE) was prepared for the codelivery of curcumin (CUR) and methotrexate (MTX).
View Article and Find Full Text PDFBackground: Different countries have varying dental specialities, shaped by diverse factors. The determinants influencing the development of these specialities differ between developed and developing countries. This study aimed to explore the factors contributing to the establishment of dental specialities in Iran, a developing country with a wide range of recognised dental specialities.
View Article and Find Full Text PDFCellulase production for hydrolyzing plant cell walls is energy-intensive in filamentous fungi during nutrient scarcity. AMP-activated protein kinase (AMPK), encoded by snf1, is known to be the nutrient and energy sensor in eukaryotes. Previous studies on AMPK identified its role in alternate carbon utilization in pathogenic fungi.
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