The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …

The co-occurrence of diseases can inform the underlying network biology of shared and
multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects …

摘要糖尿病治疗在很大程度上取决于患者的自我管理及主观能动性, 因为糖尿病患者每天都必须
做出很多决定, 例如吃什么, 什么时候运动, 如果需要的话还要决定注射多少剂量的胰岛素以及何 …

The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

The widespread use of information technology in healthcare leads to extensive data
collection, which can be utilised to enhance patient care and manage chronic illnesses. Our …

Diabetes is one of the most rapidly growing chronic diseases, which has affected millions of
people around the globe. Its diagnosis, prediction, proper cure, and management are …

In digital medicine, patient data typically record health events over time (eg, through
electronic health records, wearables, or other sensing technologies) and thus form unique …

An individual's experience of COPD is determined by many factors in addition to the
pathological features of chronic bronchitis and emphysema and the symptoms that derive …

Background Healthcare, as with other sectors, has undergone progressive digitalization,
generating an ever-increasing wealth of data that enables research and the analysis of …

Type 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different
pathophysiological and genetic characteristics affecting its progression, associated …