Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any ...
BACKGROUND: Inherited nephrogenic diabetes insipidus (NDI) is a rare disorder characterized by impai...
Machine learning techniques are becoming popular in virtual screening tasks. One of the powerful mac...
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8...
BACKGROUND: In South Africa, hormonal contraception is widely used in women over the age of 40Â years...
The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms...
Medication selection for Type 2 Diabetes (T2D) is a challenging medical decision-making problem invo...
Collective cell migration, in which cells migrate as a group, is fundamental in many biological and ...
Development of truly useful wearable physiologic monitoring devices for use in diabetes management i...
Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate of thos...
BACKGROUND: Machine learning tools can expedite systematic review (SR) processes by semi-automating ...
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabet...
This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-l...
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevale...
PURPOSE: The predictive role of obesity on pathologic complete response (pCR) after neoadjuvant chem...
Patients with type 2 diabetes mellitus are generally under continuous long-term medical treatment ba...
OBJECTIVE: The PAL project develops a conversational agent with a physical (robot) and virtual (avat...
Obesity is increasing worldwide and can cause many chronic conditions such as type-2 diabetes, heart...
BACKGROUND: The usage of Artificial Neural Networks (ANNs) for genome-enabled classifications and es...
Rich sources of obesity-related data arising from sensors, smartphone apps, electronic medical healt...
We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (...