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Glaucoma is a group of chronic and progressive eye diseases caused by damage to the optic nerve, which is usually related to increased intraocular pressure. In 2020, more [...]

Applied deep learning is an area that has been evolving rapidly in recent years and is now ubiquitous within the machine learning and artificial intelligence communities. [...]

Designing synthetic genes for heterologous expression is a keystone of synthetic biology. In protein sequences - as there are 61 sense codons but only 20 standard amino a [...]

Next generation sequencing (NGS) and single-cell sequencing technologies have enabled unparalleled resolution of the cell's molecular machinery; however, gleaning accurat [...]

A multi-module diabetic retinopathy diagnostic system based on structural and angiographic optical coherence tomography using deep learning.

Postural impairments constitute a common motor symptom of Parkinson’s disease (PD). While there is evidence that they might already be present pre-clinically, they are of [...]

This thesis presents a suite of deep learning frameworks designed to address key challenges in the analysis of Electron Microscopy (EM) images of cancer cells, which are [...]

Nearly one in five children (17%) aged 2-8 were diagnosed with either a mental, emotional, developmental, or behavioral disorder in 2016 in the US. Early identification o [...]

Artificial Intelligence (AI) algorithms have demonstrated efficacy in detecting severe ROP. Recent work using the Imaging and Informatics in ROP (i-ROP) deep learning (DL [...]

An increasing amount of attention is being given to the structural and morphological aspects of biological function, and by extension the computational challenges necessa [...]