Latest AI and machine learning research in prevention for healthcare professionals.
Physical activity levels are related through algorithms to the energetic demand, with no information regarding the integrity of the multiple physiological systems involved in the energetic supply. Longitudinal analysis of the oxygen uptake (V̇o) by wearable sensors in realistic settings might permit development of a practical tool for the study of the longitudinal aerobic system dynamics (i.e., V̇...
In data-driven phenotyping, a core computational task is to identify medical concepts and their variations from sources of electronic health records (EHR) to stratify phenotypic cohorts. A conventional analytic framework for phenotyping largely uses a manual knowledge engineering approach or a supervised learning approach where clinical cases are represented by variables encompassing diagnoses, me...
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...
Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countries. Several environmental and genetic factors pred...
Today, there is considerable interest in personal healthcare. The pervasiveness of technology allows to precisely track human behavior; however, when ...
CONTEXT: In obese men with lowered testosterone levels, testosterone treatment augments diet-associated loss of body fat.
Fishes exhibit lifelong neurogenesis and continual brain growth. One consequence of this continual growth is that the nervous system has the potential...
PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAGT), together with a conventional exercise program ...
Food intake and eating habits have a significant impact on people's health. Widespread diseases, such as diabetes and obesity, are directly related to...
BACKGROUND: Central arterial stiffness is a cardiovascular risk factor that can be readily affected through engagement in physical exercise training, ...
Estimation of the amounts of glucose release (AGR) during gastrointestinal digestion can be useful to identify food of potential use in the diet of in...
Safety is one of the crucial issues for robot-aided neurorehabilitation exercise. When it comes to the passive rehabilitation training for stroke pati...
This study investigated the influence of short and moderate recovery intervals on lipid profiles and plasminogen activator inhibitor-1 (PAI-1) followi...
This study investigated the relationships among exercise capacity (EC), dynamic balance (DB), and gait characteristics (GCs) of patients with type-2 d...
The aim of this study was to evaluate the influence to acute exercises performed in different intensities with volume equalized (5 km) on indices of c...
Surfactant proteins (SPs) are essential to respiratory structure and function. The expectorant drug ambroxol hydrochloride is clinically prescribed to...
BACKGROUND: Exercise interventions apparently reduce the risks of and prevent coronary artery disease (CAD). Developing an exercise intervention for p...
This study examined the effect of two feeding levels during the antepartum and postpartum period on reproductive performance and blood metabolites (gl...