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Fox News senior medical analyst Dr. Marc Siegel joins'Fox News Live' to discuss the peanut allergy study and his new book, 'The Miracles Among Us.' NEW You can now listen to Fox News articles! Early peanut introduction could help to curb allergies in kids, new research suggests. Exposing children to peanuts when they are 4 to 11 months old -- instead of waiting until they are 3, as previously recommended by the American Academy of Pediatrics -- appears to be making a dent in the number of peanut allergy diagnoses, the study published in Pediatrics suggests. New onset peanut allergy dropped by 43% in kids under 3, Dr. David Hill, M.D., Ph.D., from the Division of Allergy and Immunology at the Children's Hospital of Philadelphia, told Fox News Digital.

While dating apps like Tinder, Bumble and Hinge might remain the largest pools for wholesale, bulk swiping, there's a long tail of niche options for daters who already know exactly what they're looking for. So, whether you can't live without a partner who loves death metal or desperately need to marry a fellow millionaire, there's a dating app or site out there catering to your own, very specific community of singles. Here are ten of the most unusual dating services online right now. A dinner date with an attractive stranger can be stressful enough without having to consider life-threatening dietary restrictions. Enter ' Singles with Food Allergies,' a $14.95-per-month subscription dating site for finding a soulmate who shares your same food allergy A dinner date with an attractive stranger can be stressful enough without having to consider anyone's life-threatening dietary restrictions.

A professor says AI chatbot software, such as ChatGPT, could restructure postsecondary education by replacing some textbooks and promoting critical thinking. As artificial intelligence has made its way into everything from content creation to health care, could "robo recipes" be next on the menu? Researchers from the Poznań University of Economics and Business in Poland entered prompts into ChatGPT -- the AI-powered large language model (LLM) developed by OpenAI -- to get meal recommendations for specific food allergies. "ChatGPT -- at least in the version that was tested in January 2023 -- generally produced balanced diet plans for people with food allergies, but not all of them were safe," Paweł Niszczota, lead researcher of the study, which was published in the journal Nutrition, told Fox News Digital. Each year, some 30,000 people visit the emergency room with food allergy reactions and 150 to 200 die from them, studies have shown.

Oral Food Challenges (OFCs) are essential to accurately diagnosing food allergy due to the limitations of existing clinical testing. However, some patients are hesitant to undergo OFCs, while those willing suffer from limited access to allergists in rural/community healthcare settings. Despite its success in predicting patient outcomes in other clinical settings, few applications of machine learning to food allergy have been developed. Thus, in this study, we seek to leverage machine learning methodologies for OFC outcome prediction. Retrospective data was gathered from 1,112 patients who collectively underwent a total of 1,284 OFCs, and consisted of clinical factors including serum-specific Immunoglobulin E (IgE), total IgE, skin prick tests (SPTs), comorbidities, sex, and age. Using these features, multiple machine learning models were constructed to predict OFC outcomes for three common allergens: peanut, egg, and milk. The best performing model for each allergen was an ensemble of random forest (egg) or Learning Using Concave and Convex Kernels (LUCCK) (peanut, milk) models, which achieved an Area under the Curve (AUC) of 0.91, 0.96, and 0.94, in predicting OFC outcomes for peanut, egg, and milk, respectively. Moreover, all such models had sensitivity and specificity values 89%. Model interpretation via SHapley Additive exPlanations (SHAP) indicates that specific IgE, along with wheal and flare values from SPTs, are highly predictive of OFC outcomes. The results of this analysis suggest that ensemble learning has the potential to predict OFC outcomes and reveal relevant clinical factors for further study.

We propose a novel, attention-based self-supervised approach to identify "claim-worthy" sentences in a fake news article, an important first step in automated fact-checking. We leverage "aboutness" of headline and content using attention mechanism for this task. The identified claims can be used for downstream task of claim verification for which we are releasing a benchmark dataset of manually selected compelling articles with veracity labels and associated evidence. This work goes beyond stylistic analysis to identifying content that influences reader belief. Experiments with three datasets show the strength of our model. Data and code available at https://github.com/architapathak/Self-Supervised-ClaimIdentification

Scott Sanchez used to have a hard time deciding what to eat, especially when he was traveling. The 42-year-old wanted to lose weight and found he needed to dissect a menu with the waiter before he could order. It was a challenge, he says, but one that gave birth to The Fit, a menu personalization platform that uses artificial intelligence to give restaurant brands and their customers the option to customize their menu and food choices. At least 32 million Americans -- including 5 million children -- have food allergies, according to nonprofit Food Allergy Research & Education. Whenever they eat out, they need to make sure there are no ingredients in the food that could trigger an allergic reaction. Those with dietary preferences, from vegans to people wanting to lose weight -- there are 93 million obese people in the U.S., according to the Centers for Disease Control and Prevention -- also need to carefully examine menus.

One of Ayush Alag's earliest memories is of biting into a chocolate bar with cashew nuts and suddenly feeling his throat get itchy. For most of his childhood, the Santa Clara, California resident avoided eating anything with cashews and other nuts that caused irritation as best as he could. By his middle school years, he and his parents wanted to know for sure: did he have a serious food allergy, like 32 million other Americans, or was it just a food sensitivity? They sought the help of an allergist, Joseph Hernandez of Stanford University. Hernandez told them that the difference between an allergy and a food sensitivity is huge.