Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

Recently, advances in wearable technologies, data science and machine learning have
begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of …

Immunotherapy has revolutionized the treatment of patients with cancer. However,
promoting antitumour immunity in patients with tumours that are resistant to these therapies …

Cerebral multimodality monitoring (MMM) is, even with a general lack of Class I evidence,
increasingly recognized as a tool to support clinical decision-making in the neuroscience …

Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

As an over 9000-year-existing infectious disease whose pathogen was scientifically
identified in 1882, the understanding of tuberculosis is a great achievement. However, the …

Modern machine learning pipelines, in particular those based on deep learning (DL)
models, require large amounts of labeled data. For classification problems, the most …

3. It must behave (act and think) in a rational way: the method that leads the intelligent
system to solve a problem is a formal structured process following the logic. 4. It must obtain …

Artificial intelligence (AI), specifically a branch of AI called deep learning (DL), has proven
revolutionary developments in almost all fields, from computer vision to health sciences, and …

Blood and urine biomarkers are an essential part of modern medicine, not only for
diagnosis, but also for their direct influence on disease. Many biomarkers have a genetic …