Diet & Nutrition

Primary Hyperparathyroidism Manifesting with Severe Hypercalcemia in a Nonagenarian Man: Pitfall of Common Imaging Techniques, Localization by 18F-Choline Positron Emission Tomography/Computed Tomography and Successful Management with Calcimimetics.

A nonagenarian hypertensive man with chronic kidney disease (CKD) was admitted to the emergency department for gastrointestinal symptoms and worsening symptoms of depression. Severe hypercalcemia (15.3 mg/dL) was found and he was hospitalized. Fluids, loop diuretics and glucocorticoids were administered intravenously, which partially reduced calcium levels over a few days and improved his clinical...

Hepatoprotective and anti-obesity effects of Korean blue honeysuckle extracts in high fat diet-fed mice.

PURPOSE: This study aimed to study the protective effects and mechanism of Blue Honeysuckle (BH) extracts (Berries of Lonicera caerulea L.) on non-alcoholic fatty liver disease (NAFLD) and obesity risk factors in a high fat-diet (HFD) model.

Effects of diet before endurance exercise on hepcidin response in young untrained females.

PURPOSE: We examined the effects of diet before endurance exercise on hepcidin response in young untrained females.

Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology.

AIM: To construct a non-invasive prediction algorithm for predicting non-alcoholic steatohepatitis (NASH), we investigated Japanese morbidly obese pat...

Hydrocortisone, Vitamin C and thiamine for the treatment of sepsis and septic shock following cardiac surgery.

BACKGROUND AND AIMS: The effect of vitamin C on vasopressor requirement in critically ill patients have been evaluated previously. We aimed to evaluat...

Acalypha Wilkesiana 'Java White': Identification of Some Bioactive Compounds by Gc-Ms and Their Effects on Key Enzymes Linked to Type 2 Diabete.

In this study, we identified bioactive compounds from the ethanolic extracts of the leaves, stem bark and root bark of Acalypha wilkesiana through GC-...

A machine learning approach to predict early outcomes after pituitary adenoma surgery.

OBJECTIVEPituitary adenomas occur in a heterogeneous patient population with diverse perioperative risk factors, endocrinopathies, and other tumor-rel...

Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.

We introduce data assimilation as a computational method that uses machine learning to combine data with human knowledge in the form of mechanistic mo...

Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images.

OBJECTIVES: To document challenges to and benefits from research involving the use of images by capturing examples of such research to assess physical...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there ...

A Biomedical Approach Via Telemedicine in the Treatment of a Child With Sensory Processing Disorder Using Diet and High-dose Biotin Intervention: A Case Report.

BACKGROUND: We present the case of a 6-y-old boy who was diagnosed with sensory processing disorder with developmental language and learning delay. He...

Personalised meal eating behaviour analysis via semi-supervised learning.

Automated monitoring and analysis of eating behaviour patterns, i.e., "how one eats", has recently received much attention by the research community, ...

Using Unsupervised Machine Learning to Identify Subgroups Among Home Health Patients With Heart Failure Using Telehealth.

This study explored the use of unsupervised machine learning to identify subgroups of patients with heart failure who used telehealth services in the ...

PERSON-Personalized Expert Recommendation System for Optimized Nutrition.

The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mat...

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.

With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for ...

Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as...

Building Bayesian Networks from Causal Rules.

Bayesian Networks (BNs) are often used for designing diagnosis decision support systems. They are a well-established method for reasoning under uncert...

Femur segmentation in DXA imaging using a machine learning decision tree.

BACKGROUND: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteopor...

The association between clinically suspect arthralgia and adipokines in obese patients.

OBJECTIVE: Obesity is a moderate low-grade chronic inflammatory condition. The cause of low-grade inflammation in obese patients who have clinically s...

The role of vitamin D in the human body with a special emphasis on dental issues: Literature review.

The aim of the study was to review the current literature on the role of vitamin D in dentistry. The term vitamin D is defined as a group of compounds...