Millie
your market intelligence analyst
Search Results
Edit Save
18,410 results
FeedNavigator (EU) 10/17/2019 15:38
Objective The Japanese government has developed and promoted a national nutrient-based dietary guideline for preventing lifestyle-related chronic disease. However, its impact in a real-life setting has never been evaluated. We performed a critical appraisal of the guideline by examining the association between adherence to the guideline and lifestyle-related outcome indicators. Methods This is a retrospective observational cross-sectional study using nationally representative data on health and nutrition characteristics from the 2016 National Health and Nutrition Survey of Japan. We considered 3,861 participants aged ≥20 years, with evidence of low health risks of diabetes, hypertension, hyperlipidemia, and obesity. Five health outcome indi.
FeedNavigator (EU) 10/17/2019 14:29
Author summary Type 2 diabetes (T2D) has become a major health problem worldwide. The key feature of T2D is that blood glucose levels are elevated above the normal range. When blood glucose levels rise, insulin is released from the pancreas, triggering the rapid removal of glucose from the blood. Because of the large mass of skeletal muscle tissue (SKM), insulin-stimulated glucose uptake into SKM is essential for maintaining normal blood glucose levels. In T2D, insulin-stimulated glucose uptake by SKM is significantly impaired. Recent research has shown that two intracellular proteins known as β-arrestin-1 and -2 (Barr1 and Barr2, respectively) play important roles in regulating blood glucose levels. In this study, we investigated the poten.
FeedNavigator (EU) 10/17/2019 14:11
Author summary Why was this study done? People with diabetes are advised to have their eyes photographed regularly to detect early retinal changes so that they can be referred for preventive treatments for diabetic retinopathy. In some countries, including Scotland, national health service programmes of regular screening have been set up. Deciding how often such screening should occur is a complex problem that depends on the individual risk of developing disease but also on system-level issues such as how much screening workload can be delivered, what level of disease progression between screens is deemed acceptable (interval disease risk), whether the system should be designed to ensure this risk is equal for all (equity), and the acceptab.
FeedNavigator (EU) 10/17/2019 12:07
We report the case of a male multiple sclerosis (MS) patient with type 2 diabetes (T2D), asthma, major depression (MD or major depressive disorder, MDD), and other chronic conditions, after his recent difficulties with craniopharyngioma and cranial nerve-VI (CN6) palsy.

Health Care

Health and Wellness

Business Issues

Companies - Public

Companies - Venture Funded

Financial Results

Global Markets

Global Risk Factors

Government Agencies

Insurance

Information Technologies

Job Titles

Legal and Regulatory

Political Entities

Sources

Strategic Scenarios

Trends

Hints:

On this page, you see the results of the search you have run.  You may also view the following:

  •  Click on this drop-down menu on the right hand side of the page, to choose between the machine learning-produced Insights Reports, or the listing of concepts extracted from the results, in chart or list format. 


  •  View the number of search results returned for the search in each of your collections, and click on any of those numbers to view the entire listing of results from the chosen collection.

  •  Use the search adjustment drop-downs to change the scope, sorting, and presentation of your results.

  •  Show or hide the record’s caption (content description).

  •  Show actions that can be made with the search result record.

  •  Click on the Save button after running your search, to save it so that its results will be updated each time relevant new content is added to the designated collection. You may choose to be notified via search alerts.

Click here for more info on Search Results

Click here for more info on Machine Learning applications