Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Remote-sensing mineral exploration is critical for identifying economically viable mineral deposit...
Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health c...
Systematic reviews (SRs) are essential for evidence-based guidelines but are often limited by the ...
The obesity phenomenon, known as the heavy issue, is a leading cause of preventable chronic diseas...
Reliable prediction of pediatric obesity can offer a valuable resource to providers, helping them ...
Osteoporosis is a widespread and chronic metabolic bone disease that often remains undiagnosed and...
This study introduces Purrfessor, an innovative AI chatbot designed to provide personalized dietar...
Understanding the genetic basis of phenotypic variation is fundamental to biology. Here we introduce...
OBJECTIVE: Individuals living with obesity are differentially susceptible to cardiometabolic disease...
OBJECTIVE: End-stage renal disease (ESRD) commonly manifests with disrupted calcium balance, leading...
BACKGROUND: Obesity, a multifactorial and complex health condition, has emerged as a significant glo...
Nutrients are critical to the functioning of the human body and their imbalance can result in detr...
Current research in food analysis primarily concentrates on tasks such as food recognition, recipe...
OBJECTIVE: To evaluate whether the CT attenuation of bones seen on shoulder CT scans could be used t...
A As health technology advances, this study aims to develop an innovative nutritional intake managem...
Community parks play a crucial role in promoting physical activity and overall well-being. This st...
Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer ch...
Recently, there has been an increasing interest in applying technological advances to offer specific...
Attainment of optimal bone mineral density (BMD) in female athletes is a very important aspect of en...
Matching a target spectrum with known spectra in a spectral library is a common method for materia...
Machine Learning (ML) for Mineral Prospectivity Mapping (MPM) remains a challenging problem as it ...