Disrupted protein folding or decreased protein stability can lead to the accumulation of
(partially) un‐or misfolded proteins, which ultimately cause the formation of protein …

Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs)
such as GPT and BERT have evolved significantly, impacting various industries with their …

Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and
clinical decision support. While recent progress has shown that language model encoders …

Background: Peristomal skin complications (PSCs) are the most common skin problems
seen after ostomy surgery. They have a considerable impact on a patient's quality of life and …

Abstract Purpose of Review We critically evaluate the future potential of machine learning
(ML), deep learning (DL), and artificial intelligence (AI) in precision medicine. The goal of …

We present a new scientific document similarity model based on matching fine-grained
aspects of texts. To train our model, we exploit a naturally-occurring source of supervision …

The prevalence of overweight and obesity is continuously increasing, both in the adult and
pediatric populations, posing a substantial challenge to public health. Understanding the …

Developing effective biomedical retrieval models is important for excelling at knowledge-
intensive biomedical tasks but still challenging due to the deficiency of sufficient publicly …

In scientific research, the ability to effectively retrieve relevant documents based on complex,
multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily …

The main goal of this book is to provide an understanding of the theory, implementation, and
evaluation of information retrieval (IR) systems in biomedicine and health. There is already a …