Latest AI and machine learning research in parenting for healthcare professionals.
Artificial Intelligence (AI) and machine learning (ML) have now spawned a new field within health care and health science research. These new predictive analytics tools are starting to change various facets of our clinical care domains including the practice of laboratory medicine. Many of these ML tools and studies are also starting to populate our literature landscape as we know it but unfamilia...
The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex exposure, and residual confounding. The objective of this perspective article is to highlight how developments in big data and machine learning can help address these challenges. New methods of collecting 24-h dietary recalls and recording diet could enable larger samples and more repeated measures...
β-barrel outer membrane proteins (β-OMPs) play critical roles in nutrition acquisition, protein import/export, and other fundamental biological proces...
Artificial intelligence (AI) has dramatically changed the landscape of science, industry, defence, and medicine in the last several years. Supported b...
BACKGROUND: Peripheral intravenous catheters connected to an infusion pump are necessary for the delivery of fluids, nutrition, and medications to hos...
Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth in its application to healthcare and beyond, and ...
Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques ...
In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in canc...
Histology, the branch of anatomy also known as microscopic anatomy, is the study of the structure and function of the body's tissues. To gain an under...
Genome editing (GE) technology has emerged as a multifaceted strategy that instantaneously popularised the mechanism to modify the genetic constitutio...
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for...
The concern for aging, chronic illness, and dependence is relevant in today's society. The Nursing discipline is responsible for its approach to care....
The development of computer hardware allows rapid accumulation of medical imaging data. Deep learning has shown great potential in medical imaging dat...
Loss of locomotion is one major problem faced by the elderly currently. Various rehabilitation technologies have been developed to assist them in reco...
Physical activity (PA) is widely recognized as one of the important elements of personal healthy life. To date, as the development of wearable sensing...
This paper presents a novel robotic finger prosthesis for partially amputated patients who have lost a thumb and index finger. The challenging issues ...
This opinion paper discusses how human-robot interaction (HRI) methodologies can be robustly developed by drawing on insights from fields outside of H...
This paper outlines typical terminology for modeling and highlights key historical and forthcoming aspects of mathematical modeling. Mathematical mode...
Information Quality (IQ) is a core tenant of contemporary data management practices. Across many disciplines and industries, it has become a necessary...
Artificial intelligence (AI) has been positioned as being the most important recent advancement in radiology, if not the most potentially disruptive. ...