Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Machine learning exhibits excellent performance in terms of predictive power. We aimed to construct ...
BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essenti...
Crude oil, a major key economic driver in developing countries, is also of environmental concern, l...
: The use of artificial intelligence (AI) chatbots for obtaining healthcare advice is greatly increa...
BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors,...
Sex differences in the gut microbiome have been examined previously, but results are inconsistent, o...
BACKGROUND: Recent research has identified the Low-Carbohydrate Diet (LCD) score as a novel biomarke...
Obesity, a growing global health concern, is linked to severe ailments such as cardiovascular diseas...
Artificial intelligence (AI) and its applications in digital health, bioengineering, and society hav...
BACKGROUND: Evidence suggests a strong association between vitamin D status and asthma, with individ...
OBJECTIVE: The association between vitamin D deficiency and ovarian reserve-specific outcomes of ass...
INTRODUCTION: As the livestock industry grapples with the need for sustainable land, maintaining pro...
BACKGROUND: This is the initial investigation assessing the association between caffeine consumption...
BACKGROUND: Early detection of anxiety symptoms can support early intervention and may help reduce t...
Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study in...
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning mod...
Organic acids reflect the course of all important metabolic processes and the effects of diet, nutri...
The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...
A significant portion of the world's population relies on rice as a primary source of nutrition. In ...
This study aimed to develop and validate a machine learning (ML)-based model for predicting liposuct...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...