In recent years, extensive research in the field of Deep Learning (DL) has led to the
development of a wide array of machine learning algorithms dedicated to solving complex …

Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

Raman optical spectroscopy promises label-free bacterial detection, identification, and
antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds …

Lung cancer has a high mortality rate, but an early diagnosis can contribute to a favorable
prognosis. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids …

Over the past year, the world's attention has focused on combating COVID-19 disease, but
the other threat waiting at the door—antimicrobial resistance should not be forgotten …

Hyperspectral imaging is a technique that provides rich chemical or compositional
information not regularly available to traditional imaging modalities such as intensity …

Data volumes collected in many scientific fields have long exceeded the capacity of human
comprehension. This is especially true in biomedical research where multiple replicates and …

With the advances in instrumentation and sampling techniques, there is an explosive growth
of data from molecular and cellular samples. The call to extract more information from the …

Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral
cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer …

The need for efficient and accurate identification of pathogens in seafood and the
environment has become increasingly urgent, given the current global pandemic. Traditional …