Latest AI and machine learning research in parenting for healthcare professionals.
BACKGROUND: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardi...
Borderline personality disorder (BPD) is associated with a high risk of suicide. Despite several risk factors being known, identifying vulnerable pati...
BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44Â h of undergraduate medical nutrition education. The Total Health Curriculum...
The success of large language models (LLMs) in general areas have sparked a wave of research into their applications in the medical field. However, en...
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct an interpretable machine learning model utilizing ...
BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. Howev...
One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The medical records, lab results, radiographs, endosco...
BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors, impacting their quality of life, nutrition, daily...
OBJECTIVE: With the development of ChatGPT, the number of studies within the nursing field has increased. The sophisticated language capabilities of C...
The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the met...
Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry features, that can be adapted to different environment...
INTRODUCTION: As the livestock industry grapples with the need for sustainable land, maintaining production systems, and reducing antimicrobial resist...
BACKGROUND: This is the initial investigation assessing the association between caffeine consumption through diet and circulating Klotho concentration...
Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study investigates the potential of using multi-leaf SPAD ...
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition. Tomato ()...
Randomised controlled trials are the 'gold standard' approach in nutrition research to show a causal relationship between a dietary intervention and c...
Machine learning is increasingly being utilised across various domains of nutrition research due to its ability to analyse complex data, especially as...
The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the least allergenic forms to the most allergenic forms i...
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s...