Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innov...
The computer science technology trend called artificial intelligence (AI) is not new. Both machine l...
At medical checkups or mass screenings, the fundus examination is effective for early detection of s...
IMPORTANCE: Techniques that properly identify patients in whom ocular hypertension (OHTN) is likely ...
BACKGROUND: Pulmonary hypertension (PH) is an adverse prognostic marker in patients undergoing cardi...
BACKGROUND: Aging is a major non-modifiable risk factor for hypertension. Changes in aging are simil...
Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH...
Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of...
Currently, the development of medicines for complex diseases requires the development of combination...
Monitoring blood pressure (BP) in people's daily life in an unobtrusive way is of great significance...
RATIONALE: Accumulating evidence implicates inflammation in pulmonary arterial hypertension (PAH) an...
The creation of big clinical data cohorts for machine learning and data analysis require a number of...
Continuous blood pressure (BP) monitoring can produce a significant amount of digital data, which in...
INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive...
Background Studies have demonstrated that the current US guidelines based on American College of Car...
Disturbance in lipid metabolism can be both a cause and a consequence of the development of diabetes...
Hypertension and depression, as 2 major public health issues, are closely related. For patients havi...
Recently, there have been many developments and improvements in portal hypertension surgery, but the...
The use of retrospective health care claims datasets is frequently criticized for the lack of comple...
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profil...