Publications by authors named "N C Talukdar"
Metabolic syndrome (MetS) is a cluster of interrelated metabolic abnormalities that significantly elevate the risk of cardiovascular disease, obesity, and diabetes. Flavonoids, a diverse class of bioactive polyphenolic compounds found in plant-derived foods and beverages, have garnered increasing attention as potential therapeutic agents for improving metabolic health. This review provides a comprehensive analysis of the therapeutic effects of flavonoids in the context of the MetS, with a particular focus on their modulation of the AMP-activated protein kinase (AMPK) pathway.
View Article and Find Full Text PDFOur previous study explored the bacterial endophytic diversity in a certain quantity of mustard seeds using culture dependent method by development of new isolation strategies. No bacterial colony was initially observed in supernatant obtained after centrifugation of mustard seed suspension. This was later overcome by usage of surfactant whereas pellet part showed presence of bacterial colonies on media.
View Article and Find Full Text PDFArticle Synopsis
- - The study evaluates the effectiveness of large language models (LLMs), particularly GPT-3.5 Turbo, GPT-4, and Llama-7B, in identifying metastatic cancer from medical discharge summaries, compared to BERT models and medical expert annotations.
- - Results showed that well-structured prompts with reasoning steps significantly improved the models' performance, with GPT-4 outperforming all other models in the study.
- - The research indicates that GPT-4 could replace specialized models like PubMedBERT in clinical settings due to its strong performance, even without reliance on specific keywords or fine-tuning enhancements.
Article Synopsis
- - The study evaluates large language models (LLMs), including GPT-3.5 Turbo and GPT-4, in the context of healthcare, specifically for identifying metastatic cancer from discharge summaries.
- - Results show that effective prompt engineering significantly improves model performance, with GPT-4 outperforming other models, while methods like one-shot learning and fine-tuning did not provide additional benefits.
- - The findings indicate that GPT-4 could potentially replace specialized models like PubMedBERT using strategic prompts, and highlight the need for enhancements in open-source models to better fit clinical applications.
Mahanine mediated therapeutic inhibition of estrogen receptor-α and CDK4/6 expression, decipher the chemoprevention-signaling cascade in preclinical model of breast cancer.
J Ethnopharmacol
January 2024
Article Synopsis
- * The study used techniques like Western blotting and ELISA to analyze MH's effects on breast cancer cells, showing it reduces cell viability in both drug-sensitive and resistant cancer cell lines.
- * Results indicate that MH works synergistically with tamoxifen in estrogen receptor-positive cells and inhibits specific cell cycle regulatory genes, while also reducing serum leptin levels and preventing tumor development in rats over a 12-week period.