Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …

High-throughput microfluidic systems are widely used in biomedical fields for tasks like
disease detection, drug testing, and material discovery. Despite the great advances in …

The work represents a successful attempt to combine a gas sensors array with
instrumentation (hardware), and machine learning methods as the basis for creating …

Salivary biomarkers can improve the efficacy, efficiency, and timeliness of oral and
maxillofacial disease diagnosis and monitoring. Oral and maxillofacial conditions in which …

Cancer is a fatal disease and a significant cause of millions of deaths. Traditional methods
for cancer detection often have limitations in identifying the disease in its early stages, and …

The aging population and the prevalence of infectious diseases have impacted the
traditional medical order, significantly increasing the burden on healthcare and adversely …

Biochemical sensors have become indispensable tools for real-time, on-site monitoring and
analysis in diverse domains such as healthcare, environmental protection, and food safety …

An electronic tongue is a powerful analytical instrument based on an array of non-selective
chemical sensors with a partial specificity for data gathering and advanced pattern …

This review addresses the convergence of impedimetric biosensing technologies and
computational methods facilitating data information visualization. The literature brings …

Machine learning and other artificial intelligence methods are gaining increasing
prominence in chemistry and materials sciences, especially for materials design and …