Asthma is a globally significant non-communicable disease with major public health
consequences for both children and adults, including high morbidity, and mortality in severe …

Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

The last 18 months, or more, have seen a profound shift in our global experience, with many
of us navigating a once-in-100-year pandemic. To date, COVID-19 remains a life …

The wide adoption of electronic health record systems in health care generates big real-
world data that open new venues to conduct clinical research. As a large amount of valuable …

Abstract The dbPTM (http://dbPTM. mbc. nctu. edu. tw/) has been maintained for over 10
years with the aim to provide functional and structural analyses for post-translational …

Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …

Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in develo** countries. Among them …

Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …

Antimicrobial peptides (AMPs), naturally encoded from genes and generally contained 10–
100 amino acids, are crucial components of the innate immune system and can protect the …

Artificial intelligence is the fastest growing data-driven technology and is currently used in all
major fields and reduces the work of humans. Artificial intelligence can analyse extensive …