We address key questions related to the explosion of interest in the emerging fields of big
data, analytics, and data science. We discuss the novelty of the fields and whether the …

Purpose To examine the prevalence of comorbid chronic pain among patients with opioid
use disorder (OUD) and to compare other comorbidities (substance use disorder (SUD) …

Monitoring and modeling biomedical, health care and wellness data from individuals and
converging data on a population scale have tremendous potential to improve understanding …

Using data to drive discovery has been a hallmark of scientific investigation since the 1600s,
beginning with the writings of Sir Francis Bacon regarding the modern scientific method. 1 …

Several advances in large data set collection and processing have the potential to provide a
wave of new insights and improvements in the use of radiation therapy for cancer treatment …

AI in Healthcare needed to bring real, actionable insights and Individualized insights in real
time for patients and Doctors to support treatment decisions., We need a Patient Centred …

Artificial intelligence has been making steady progress in making impact in clinical medicine
and healthcare this past decade since the advent of deep learning. Accelerated by the …

The health sector has witnessed a great evolution following the development of new
computer technologies, and that pushed this area to produce more medical data, which …

Background Thirty-day readmissions (30DRA) are a highly scrutinized measure of
healthcare quality and relatively frequent among kidney transplants (KTX). Development of …

Predictive analytics using machine learning is transforming healthcare by providing valuable
insights into patient care, operational efficiency, and cost reduction. Using machine learning …