Page 8 - நாளமில்லா சமூகம் இதழ் ஆஃப் மருத்துவ உட்சுரப்பியல் வளர்சிதை மாற்றம் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from நாளமில்லா சமூகம் இதழ் ஆஃப் மருத்துவ உட்சுரப்பியல் வளர்சிதை மாற்றம். Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In நாளமில்லா சமூகம் இதழ் ஆஃப் மருத்துவ உட்சுரப்பியல் வளர்சிதை மாற்றம் Today - Breaking & Trending Today

Artificial intelligence predicts gestational diabetes in Chinese women

E-Mail
WASHINGTON Machine learning, a form of artificial intelligence, can predict which women are at high risk of developing gestational diabetes and lead to earlier intervention, according to a new study published in the Endocrine Society s
Journal of Clinical Endocrinology & Metabolism.
Gestational diabetes is a common complication during pregnancy that affects up to 15 percent of pregnant women. High blood sugar in the mother can be dangerous for the baby and lead to complications like stillbirth and premature delivery. Most women are diagnosed with gestational diabetes during the second trimester, but some women are at high risk and could benefit from earlier intervention. ....

Yu Wang , South Australia , Cheng Li , Shen Kang , United States , Ting Wu , Andrew Kawai , Yi Shi , Chen Jie Zhang , Lei Chen , Jian Zhong Sheng , Monash University , Endocrine Society , Zhejiang University In , Innovation Fund For Medical Sciences , Natural Science Foundation Of Shanghai , Shanghai Jiao Tong University School Of Medicine , National Natural Science Foundation Of China , Program Of Shanghai Academic Research Leader , Clinical Technology Innovation , Foundation Of Shanghai Municipal Commission Health , Development Program Of China , Shanghai Jiao Tong University , Shanghai Shenkang Hospital Development Center , International Peace Maternity , National Key Research ,

Artificial Intelligence Predicts Gestational Diabetes

Artificial Intelligence Predicts Gestational Diabetes
by Colleen Fleiss on
December 22, 2020 at 11:10 PM
Machine learning helped predict women at high risk of developing gestational diabetes, revealed a new study published in the Endocrine Society s Journal of Clinical Endocrinology & Metabolism. Machine learning is a form of artificial intelligence.
Gestational diabetes is a common complication during pregnancy that affects up to 15 percent of pregnant women. High blood sugar in the mother can be dangerous for the baby and lead to complications like stillbirth and premature delivery. Most women are diagnosed with gestational diabetes during the second trimester, but some women are at high risk and could benefit from earlier intervention. ....

Yu Wang , South Australia , Cheng Li , United States , Shen Kang , Ting Wu , Andrew Kawai , Lei Chen , Chen Jie Zhang , Retinopathydiabetesdiabetic Dietdiabetes , Yi Shi , Jian Zhong Sheng , Monash University , Zhejiang University In , Innovation Fund For Medical Sciences , Natural Science Foundation Of Shanghai , Shanghai Jiao Tong University School Of Medicine , National Natural Science Foundation Of China , Program Of Shanghai Academic Research Leader , Clinical Technology Innovation , Foundation Of Shanghai Municipal Commission Health , Development Program Of China , Shanghai Jiao Tong University , Shanghai Shenkang Hospital Development Center , International Peace Maternity , National Key Research ,

The Single Worst Time of Day to Drink a Soda, According to a Dietitian

The Single Worst Time of Day to Drink a Soda, According to a Dietitian
© Provided by Eat This, Not That!
woman drinking a soda before exercise
Whether you re starting your day with a Southern coffee (i.e.: a Coke) or you re streaming Netflix late at night alongside a bottle of your favorite sugary, caffeinated beverage, there s never a
good time of day to drink a soda. Whenever you indulge, you re going to instantly send sugar flooding into your bloodstream, your pancreas will need kick into high gear to push that sugar into your muscles to try and convert what it can into energy, and any excess sugar will likely get stored in the liver and turn into fat. (Oh, and you ll likely experience a gnarly sugar crash.) Drink too much, too often, and you re looking at some serious damage your body. The more regular soda cans per day we drink, the more likely we are to die from heart disease, integrative medicine physician Irina Todorov, MD, notes on behalf of the Cl ....

United States , San Francisco , Leslie Bonci , Anthony Coffey , Irina Todorov , University Of California , American Heart Association , Endocrine Society Journal Of Clinical Endocrinology Metabolism , Osaka University Graduate School Of Medicine , Eat This , Super Bowl , Kansas City , Endocrine Society , Clinical Endocrinology Metabolism , Popular Sodas Ranked , How Toxic They , American Journal , Clinical Nutrition , Osaka University Graduate School , Dangerous Side Effects , Drinking Soda Every , ஒன்றுபட்டது மாநிலங்களில் , சான் பிரான்சிஸ்கோ , அந்தோணி காஃபி , இரினா டோட்ராவ் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா ,

AI model identifies women at high risk for gestational diabetes, study finds

AI model identifies women at high risk for gestational diabetes, study finds
By
(0)
Researchers in China have successfully used AI to identify women at high risk for gestational diabetes, a common pregnancy complication. Photo by Free-Photos/Pixabay
Dec. 22 (UPI) Artificial intelligence can effectively identify women at high risk for gestational diabetes during the first trimester, allowing treatment to begin at an earlier stage of the disease, according to a study published Tuesday by the Endocrine Society s Journal of Clinical Endocrinology & Metabolism.
Researchers in China used machine learning, a form of AI, to develop a model that can predict whether women will develop the disease about 80% of the time. ....

United States , Shanghai Jiao Tong University School Of Medicine , International Peace Maternity , American Diabetes Association , Endocrine Society Journal Of Clinical Endocrinology Metabolism , Child Health Hospital , Endocrine Society , Clinical Endocrinology , He Feng Huang , Shanghai Jiao Tong University School , American Diabetes , ஒன்றுபட்டது மாநிலங்களில் , ஷாங்காய் ஜியாவோ நாக்கு பல்கலைக்கழகம் பள்ளி ஆஃப் மருந்து , சர்வதேச சமாதானம் மகப்பேறு , அமெரிக்கன் நீரிழிவு நோய் சங்கம் , நாளமில்லா சமூகம் இதழ் ஆஃப் மருத்துவ உட்சுரப்பியல் வளர்சிதை மாற்றம் , குழந்தை ஆரோக்கியம் மருத்துவமனை , நாளமில்லா சமூகம் , மருத்துவ உட்சுரப்பியல் , அவர் ஃபெங் ஹுவாங் , ஷாங்காய் ஜியாவோ நாக்கு பல்கலைக்கழகம் பள்ளி , அமெரிக்கன் நீரிழிவு நோய் ,

Different forms of sugar impact hunger-suppressing hormones in young adults

E-Mail
WASHINGTON Drinks with sucrose compared to glucose may cause young adults to produce lower levels of appetite-regulating hormones, according to a new study published in the Endocrine Society s
Journal of Clinical Endocrinology & Metabolism.
Too much sugar consumption is a contributing factor for obesity. Sucrose, or table sugar, is composed of equal parts glucose and fructose and is often added to processed foods like soda, candy, cereal and canned foods. Glucose can be found in foods like honey and dried fruits.
Our study found that when young adults consumed drinks containing sucrose, they produced lower levels of appetite-regulating hormones than when they consumed drinks containing glucose (the main type of sugar that circulates in the bloodstream), said study author Kathleen Page, M.D., of the USC Keck School of Medicine in Los Angeles, Calif. This study is the first to show how individual characteristics, including body weight, sex and insuli ....

District Of Columbia , United States , University Of Southern California , Trevora Pickering , Johnr Monterosso , Alexis Defendis , Alexandrag Yunker , Los Angeles , Hilarym Dorton , Sabrina Jones , Shan Luo , Brendan Angelo , Jasminm Alves , National Institute Of Diabetes , Endocrine Society , Keck School Of Medicine , Translational Science Institute , Endocrine Society Journal Of Clinical Endocrinology Metabolism , Clinical Endocrinology , Kathleen Page , Southern California , National Institute , Kidney Diseases , Southern California Clinical , Translational Science , Regulating Hormones ,