The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

In the field of predictive, preventive and personalised medicine, researchers are keen to
identify novel and reliable ways to predict and diagnose disease, as well as to monitor …

There is a global diabetes epidemic correlating with an increase in obesity. This coincidence
may lead to a rise in the prevalence of type 2 diabetes. There is also an as yet unexplained …

Diabetic retinopathy (DR), a sight-threatening neurovasculopathy, is the leading cause of
irreversible blindness in the developed world. DR arises as the result of prolonged …

The lacrimal film has attracted increasing interest in the last decades as a potential source of
biomarkers of physiopathological states, due to its accessibility, moderate complexity, and …

Diabetic retinopathy (DR) is a universal microvascular complication of diabetes mellitus
(DM), which is the main reason for global sight damage/loss in middle-aged and/or older …

Purpose Tear fluid biomarkers may offer a non-invasive strategy for detecting diabetic
patients with increased risk of developing diabetic retinopathy (DR) or increased disease …

Proteomics and metabolomics investigations of body fluids present several challenges for
biomarker discovery of several diseases. The search for biomarkers is actually conducted in …

In this paper, we give a review on automatic image processing tools to recognize diseases
causing specific distortions in the human retina. After a brief summary of the biology of the …