Highlights•Big Data are radically transforming Personalized Medicine.•Multi-omics, images,
device data, and electronic health records represent the main big data types in biomedical …

Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …

The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

Following on from the 2015 Lancet Oncology Commission on expanding global access to
radiotherapy, Radiotherapy and theranostics: a Lancet Oncology Commission was created …

Background Mechanical ventilation (MV) is a core intensive care unit (ICU) therapy.
Significant inter-and intra-patient variability in lung mechanics and condition makes …

Patient-specific cardiac models are now being used to guide therapies. The increased use
of patient-specific cardiac simulations in clinical care will give rise to the development of …

Biosensors have been extensively investigated and used in a wide range of applications,
from environmental monitoring to clinical diagnostics. Glucose biosensors have gained …

Approximately 3 billion people around the world have gone into some form of social
separation to mitigate the current severe acute respiratory syndrome coronavirus 2 (SARS …

Schematic of supervised, unsupervised, and semisupervised machine learning (left) and
reinforcement learning (right). Common algorithms used in supervised and unsupervised …

Aortic dissection continues to be responsible for significant morbidity and mortality, although
recent advances in medical data assimilation and in experimental and in silico models have …