Publications by authors named "J M Nestor"
Introduction: Haiti is on the verge of possibly eliminating malaria, an endemic parasitic infection primarily caused by Plasmodium falciparum on the island of Hispaniola. Owing to its associated morbidity and mortality, malaria is a leading public health priority in Haiti. This scoping review aims to identify the scope of research on access and coverage of malaria surveillance, diagnosis, and treatment in Haiti in the elimination setting.
View Article and Find Full Text PDFIntroduction: Clinical research is critical for healthcare advancement, but participant recruitment remains challenging. Clinical research professionals (CRPs; e.g.
View Article and Find Full Text PDFArticle Synopsis
- Large language models (LLMs) show potential in summarizing medical evidence, but using proprietary models can lead to issues like lack of transparency and reliance on specific vendors.
- This study focused on enhancing the performance of open-source LLMs by fine-tuning three models—PRIMERA, LongT5, and Llama-2—using a dataset of 8,161 systematic reviews and summaries.
- Fine-tuning resulted in significant performance improvements, with LongT5 performing similarly to GPT-3.5 in certain settings, indicating that smaller models can outperform larger models in specific tasks, like summarizing medical evidence.
Article Synopsis
- Large language models (LLMs) show potential in summarizing medical evidence but are often limited by issues such as lack of transparency when using proprietary models.
- This study examines the effects of fine-tuning open-source LLMs like PRIMERA, LongT5, and Llama-2 to enhance their performance, using a dataset of systematic reviews and summaries.
- Results indicate that fine-tuning improves the performance of open-source models, with LongT5 performing nearly as well as GPT-3.5, and smaller fine-tuned models sometimes outperforming larger models in evaluations.
Article Synopsis
- Genomic medicine offers significant potential for personalized care in nephrology, but integrating it into clinical practice is challenging; automated decision support systems may help but have had limited success so far.
- A survey of US nephrologists identified issues like varying levels of knowledge regarding genomic resources and barriers to genetic testing, including costs and insufficient experience in genomics.
- The study highlights the need for tailored support interventions to help nephrologists effectively use genomic resources, which could improve the adoption of these tools and ultimately enhance kidney disease management and patient outcomes.