Advances in soft materials, miniaturized electronics, sensors, stimulators, radios, and battery-
free power supplies are resulting in a new generation of fully implantable organ interfaces …

Artificial intelligence (AI) has been the subject of considerable interest for many years for its
potential to improve clinical care—yet its actual impact on patient outcomes when deployed …

To support point-of-care decision making by presenting outcomes of past treatment choices
for cohorts of similar patients based on observational data from electronic health records …

Abstract Type-2 diabetes mellitus (T2DM) is a medical condition in which oral medications
avail to patients to curb their hyperglycaemia after failed dietary therapy. However, individual …

Background: The worldwide tragedy of the severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2) pandemic vividly demonstrates just how inadequate mitigation and control of …

Background The ability to do comparative effectiveness research (CER) for proximal
humerus fractures (PHF) using data in electronic health record (EHR) systems and …

Patient similarity analytics has emerged as an essential tool to identify cohorts of patients
who have similar clinical characteristics to some specific patient of interest. In this study, we …

Background Applications of classical case-based reasoning (CBR) have given rise to a
family of techniques we call “localized models”, in which a statistical model is fitted to a …

Background Rich data on diverse patients and their treatments and outcomes within
Electronic Health Record (EHR) systems can be used to generate real world evidence. A …

Effective biomarker identification and accurate sample label prediction are still challenging
for complex diseases. Patient similarity network (PSN) analysis is a powerful tool in disease …