Diet & Nutrition

Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning.

Attainment of optimal bone mineral density (BMD) in female athletes is a very important aspect of en...

MedDietAgent: An AI-based Mobile App for Harmonizing Individuals' Dietary Choices with the Mediterranean Diet Pattern.

Recently, there has been an increasing interest in applying technological advances to offer specific...

Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812.

Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer ch...

Deep learning-based BMI inference from structural brain MRI reflects brain alterations following lifestyle intervention.

Obesity is associated with negative effects on the brain. We exploit Artificial Intelligence (AI) to...

Assessment of Osteoprotegerin and Receptor Activator of Nf-Κb Ligand in Malaysian Male Patients with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.

Background: Limited information exists regarding the pathophysiological interactions between osteopo...

BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.

To develop and test an NLP algorithm that accurately detects the presence of information reported f...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

Addressing obesity and homelessness via ChatGPT.

Critical Appraisal on the Role of Warfarin in the Current Era.

Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...

The Role of Vitamin D Binding Protein and Vitamin D Level in Mortality of Sepsis Patients.

BACKGROUND: Vitamin D plays crucial roles in immune cell function, including macrophage activation, ...

SoyDNGP: a web-accessible deep learning framework for genomic prediction in soybean breeding.

Soybean is a globally significant crop, playing a vital role in human nutrition and agriculture. Its...

Hypomagnesemia and 25-hydroxyvitamin D deficiency in patients with long COVID.

Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in pat...

Are Nutrition Professionals Ready for Artificial Intelligence?

Automatic Chinese Food recognition based on a stacking fusion model.

With commercialization of deep learning models, daily precision dietary record based on images from ...

Vitamin D: A promising antifungal and antibiofilm agent against species.

BACKGROUND AND PURPOSE: species are opportunistic fungal pathogens that cause mild to life-threaten...

Tracking of Nutritional Intake Using Artificial Intelligence.

In this short communication paper, we present the results we achieved for automated calorie intake m...

Chylous Ascites After Robot-Assisted Laparoscopic Donor Nephrectomy: Is Early Surgical Intervention Necessary?

OBJECTIVES: Chylous ascites is a rare complication that may occur after living donor nephrectomy. Th...

Natural language processing: fast forwarding research to the "good stuff": Natural language processing for nutrition.

ASAS-NANP symposium: mathematical modeling in animal nutrition-Making sense of big data and machine learning: how open-source code can advance training of animal scientists.

Advancements in precision livestock technology have resulted in an unprecedented amount of data bein...

ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application.

Over the last three decades, agent-based modeling/model (ABM) has been one of the most powerful and ...

[The first experience of robot-assisted bariatric surgery using the Senhance system in patients with morbid obesity].

OBJECTIVE: To study the results of robot-assisted bariatric surgery using the Senhance system in pat...