Special Issues

Invasive, non-invasive, and contactless measurements are now becoming the standard for patient monitoring, both in clinical and non-clinical environments. Lately, exemplary applications of engineered solutions on a large variety of…

Brain plasticity can be defined as the ability of the nervous system to change its activity in response to intrinsic or extrinsic stimuli by reorganizing its structure, functions, or connections.…

To address biomedical data analysis tasks by learning from noisy, limited, or imprecise expert annotations, researchers have recently started to develop weakly-supervised deep learning (WSDL) techniques, which are of great…

‘In silico’ modeling or computational modeling is the use of computers to simulate complex systems using mathematics, statistics, physics, and computer science. In biomedical engineering, computational modeling simulates human biology…

For many diseases, imaging has become an essential component of both initial diagnosis and continued monitoring of response to therapy. The availability of real-time imaging – in part made possible…

Graphs are a representation form that have shown to be very useful to describe the geometric structure of biomedical network-structured data. Weights, associated to edge in the graph, often represent…

Over two decades of human spaceflights on the International Space Station (ISS) have strengthened our connection with space. Many advances in healthcare got their start with astronauts. Over the years,…

In 2018, the Nobel prize was awarded to scientists for their discovery of the programmed death-1 (PD-1) receptor on T-cells, leading to the development of second-generation checkpoint inhibitors for the…

The COVID-19 pandemic has had a profound impact on healthcare, and technologies for healthcare. A rapid technological response for COVID-19 was mounted in 2020 to deliver modelling, tracking, and remote…