Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Topic modelling, primarily using Latent Dirichlet Allocation (LDA) algorithm, was employed to uncover latent themes in patient feedback, compare patient experiences across different healthcare ...
Clinical trials are facing new and evolving challenges as costs increase and approval timelines remain lengthy. Modernisation ...
Free speech has long been a cornerstone of American democracy, enshrined in the First Amendment of the U.S. Constitution. Yet, the rise of social media platforms has transformed how speech is ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
Objective Comprehensive data and analyses on cardiovascular research could clarify recent research trends for the academic community and facilitate policy development. We examined publications and ...
A production-ready data pipeline that fetches news articles, applies your trained LDA model for topic classification, stores results in MySQL, and provides real-time Power BI dashboards via ...
Extract topics and summarise outputs using Large Language Models (LLMs), either local, Gemini, Azure, or AWS Bedrock models (e.g. Claude, Nova models). The app will query the LLM with batches of ...
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