Systematic reviews are comprehensive literature reviews for a highly focused research
question. These reviews are considered the highest form of evidence in medicine. Complex …

Many real-world image recognition problems, such as diagnostic medical imaging exams,
are “long-tailed”–there are a few common findings followed by many more relatively rare …

Motivation Clinical trials are the essential stage of every drug development program for the
treatment to become available to patients. Despite the importance of well-structured clinical …

ABSTRACT Natural Language Processing (NLP) is a subfield of artificial intelligence that
focuses on the interaction between computers and human language, enabling computers to …

Learning from noisy labels is a challenge that arises in many real-world applications where
training data can contain incorrect or corrupted labels. When fine-tuning language models …

This work presents a new, original document classification dataset, BioSift, to expedite the
initial selection and labeling of studies for drug repurposing. The dataset consists of 10,000 …

Large-scale pre-trained language models (PLMs) have advanced state-of-the-art (SOTA)
performance on various biomedical text mining tasks. The power of such PLMs can be …

Nowadays, the analysis of digital media aimed at prediction of the society's reaction to
particular events and processes is a task of a great significance. Internet sources contain a …

Motivation Biomedical language models produce meaningful concept representations that
are useful for a variety of biomedical natural language processing (bioNLP) applications …

Sentiment analysis aims at extracting opinions and or emotions mainly from written text. The
most popular problem in sentiment analysis certainly is polarity detection, which falls into the …