Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …

Every so often, a confluence of novel technologies emerges that radically transforms every
aspect of the industry, the global economy, and finally, the way we live. These sharp leaps of …

Large language models (LLMs) have demonstrated remarkable generalizability, such as
understanding arbitrary entities and relations. Instruction tuning has proven effective for …

The ability to extract critical information about an infectious disease in a timely manner is
critical for population health research. The lack of procedures for mining large amounts of …

Despite improved ancillary investigations in epilepsy care, patients' narratives remain
indispensable for diagnosing and treatment monitoring. This wealth of information is …

Background Despite significant advancements in biomedical named entity recognition
methods, the clinical application of these systems continues to face many challenges:(1) …

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

The rise of open science and the absence of a global dedicated data repository for
molecular dynamics (MD) simulations has led to the accumulation of MD files in generalist …

Background Extracting relevant information about infectious diseases is an essential task.
However, a significant obstacle in supporting public health research is the lack of methods …