Latest AI and machine learning research in prevention for healthcare professionals.
BACKGROUND: It is widely recognized that overt hyper- as well as hypothyroidism are potential causes of heart failure (HF). Additionally it has been recently reported that subclinical hypothyroidism (sub-hypo) is associated with atherosclerosis, development of HF, and cardiovascular death. We aimed to clarify the effect of sub-hypo on prognosis of HF, and underlying hemodynamics and exercise capac...
The present study evaluated the effects of 4 typical subtropical forages on ruminal microbial community composition to formulate a better diet for buffalo. Corn straw silage, elephant grass, cassava residues and sugarcane tail silage were used as substrates for fermentation. Eight replicates were set up for every substrate, and fermentation was carried out in a 100-mL glass syringe, using buffalo...
Antioxidants have been reported to have anti-inflammatory effects, but there is a lack of research comparing food to supplement antioxidant sources. T...
BACKGROUND: Diet is one of the pillars of the treatment for patients with chronic kidney disease without dialysis (NDD-CKD). Despite this, very few st...
OBJECTIVE: To determine whether during-exercise rehydration improves swimming performance and whether sports drink or water have differential effects ...
BACKGROUND: The objective was to better understand Doppler hemodynamics and exercise capacity in patients with Fontan palliation by delineating the he...
Partner dance has been shown to be beneficial for the health of older adults. Robots could potentially facilitate healthy aging by engaging older adul...
Contrary to forward biomechanical functions, which are deterministic, inverse biomechanical functions are generally not. Calculating an inverse biomec...
The aim of this study was to investigate the combined effects of chitosan oligosaccharide (COS) and a microencapsulated CG1.0007 probiotic (PRO) on g...
The farnesoid X receptor (FXR) agonist, a bile acid-activated nuclear receptor, has been shown to improve the histologic features of nonalcoholic stea...
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are ...
Previous studies have demonstrated that cardiorespiratory fitness is a strong marker of cardiovascular health. Machine learning (ML) can enhance the p...
Motor function may be enhanced if aerobic exercise is paired with motor training. One potential mechanism is that aerobic exercise increases levels of...
The phenolic profiles of extra virgin olive oils (EVOOs) may influence their cardiovascular benefits. In a randomized crossover of acute EVOO intake o...
A high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS) method was established for the separation and determination of acety...
Physical activity levels are related through algorithms to the energetic demand, with no information regarding the integrity of the multiple physiolog...
In data-driven phenotyping, a core computational task is to identify medical concepts and their variations from sources of electronic health records (...
UNLABELLED: Robot-assisted gait training (RAGT) after spinal cord injury (SCI) induces several different neurophysiological mechanisms to restore walk...
AIM: To investigate the suitability of metabolic equivalents (METs) for determining exercise intensity in phase-IV post-myocardial infarction (MI) men...
AIM: To examine the efficacy of postural strategy training using a balance exercise assist robot (BEAR) as compared with conventional balance training...