The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. The
advent of smart technologies has significantly impacted the management of CVD, offering …

Most current Alzheimer's disease (AD) and mild cognitive disorders (MCI) studies use single
data modality to make predictions such as AD stages. The fusion of multiple data modalities …

Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

Background: The phecode system was built upon the International Classification of
Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association …

Today's digital health revolution aims to improve the efficiency of healthcare delivery and
make care more personalized and timely. Sources of data for digital health tools include …

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 …

Health, being a vital aspect of a fulfilling life, has experienced advancements through
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …

State-of-the-art machine learning (ML) artificial intelligence methods are increasingly
leveraged in clinical predictive modeling to provide clinical decision support systems to …

Predictive analytics play an important role in clinical research. An accurate predictive model
can help clinicians stratify risk thereby allowing the identification of a target population which …