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Every year, dental spending adds up to over $120 billion nationally across US. The story is similar in other parts of the world. A large portion of this money goes toward fixing or replacing teeth. Procedures such as cavity fillings, dental crowns, and tooth-loss solutions like dentures and bridges can be costly. Fortunately, they might not be necessary in the future.
Research done on stem cells have allowed scientists to grow tooth pulps in dogs. A study published in Journal Of Endodontics involved twelve mongrel dogs and their 192 posterior teeth (16 teeth per dog) from the upper and lower jaws. Partial pulpotomies were performed, and the dogs were divided into two equal groups of six. In Group 1, 96 teeth had their coronal pulp cavities filled with a calcium silicate–based capping material. Meanwhile, in the second group, 96 teeth were treated with bone marrow stem cells (BMSCs), followed by the same calcium silicate–based capping material. Both the groups were then analysed for the amount of inflammation, tissue damage, and the thickness of newly formed hard tissue. Researchers observed a significant difference in hard tissue bridge formation between the two groups at both the 1-week and 9-week evaluations, triggering hopes that stem cells could probably be used for regenerating teeth in future.
While regular brushing is the most important step in maintaining a good dental hygiene, to much brushing can lead to erosion of enamel. Excessive brushing of your teeth can result in a range of issues like enamel erosion, tooth sensitivity and even permanent damage. Improper brushing, combined with highly acidic foods and drinks, can lead to serious dental problems.
Overbrushing or brushing using an improper technique can also extensively damage your teeth. Using a hard toothbrush in a horizontal manner can lead to a problem called abrasion that can directly contribute to enamel erosion, particularly near the neck of the tooth on the cheek side. Dental Erosion, tooth erosion or enamel erosion can be caused by a range of chemical or mechanical forces. The process happens slowly, but it is important to be treated as it can lead to wear away underlying layers of your teeth. It can cause the teeth to become smaller, more sensitive and prone to pain.
In order to prevent abrasion, dentists recommend using a medium or soft toothbrush along with a minimal abrasive toothbrush. They also suggest that instead of brushing in a horizontal manner, one should use a "Bass technique" or "Modified bass technique" which is gentler on teeth.
As per the Bass technique, one should hold the toothbrush at a 45-degree angle place the bristles slightly over the gum line and gently brush for 15 to 20 minutes in circular motion. Gently flick the bristles towards the biting surface to remove the plaque and then continue to the next tooth.
ALSO READ: Dental Health: Can Overbrushing Damage Your Teeth?
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Where fat accumulates in the body can be far more important than simply shedding pounds when it comes to lowering diabetes risk, a new study published in Nature suggests. For people with prediabetes, which is when blood sugar is higher than normal but not yet at diabetes levels, targeting belly fat specifically may have a greater impact than losing weight overall through lifestyle changes.
Halting prediabetes is critical, as nearly 70 percent of individuals in this category eventually develop diabetes. Reversing prediabetes also protects against complications like heart disease, kidney problems, and nerve damage.
In the study, two groups of participants had similar overall fat levels but differed in how fat was stored. Those who lost more belly fat, or visceral fat, over a year were able to reverse prediabetes, while those who didn’t reduce abdominal fat did not reach healthy blood sugar levels.
Researchers from the University Hospital Tübingen in Germany found that focused lifestyle changes could bring prediabetic individuals into remission even without major weight loss. This remission was associated with a roughly 70 percent reduction in the risk of developing Type 2 diabetes over the following decade.
Among 1,105 participants with prediabetes, the study examined 234 individuals who did not lose overall weight. Of these, 51 achieved prediabetes remission after a year of targeted lifestyle interventions, while the remaining 183 did not reach healthy glucose levels.
“Weight loss remains the primary goal for people who are obese. However, reversing prediabetes can also happen without major weight loss, especially when lifestyle interventions focus on improving diet quality, increasing physical activity, and building muscle while reducing fat,” says Dr. Anoop Misra, chairman at Fortis C-Doc Hospital for Diabetes and Allied Sciences.
He adds that for Indians, reducing both subcutaneous abdominal fat and visceral fat is key for better metabolism. These changes, paired with increased muscle mass and improved functional capacity, enhance insulin sensitivity and help maintain long-term blood sugar control.
Belly fat, or visceral fat, releases inflammatory substances that interfere with insulin, the hormone that moves sugar from the blood into cells. To compensate, the body produces more insulin, which can overwhelm the pancreas and raise blood sugar. Excess sugar is often stored as fat around the abdomen, which is why even individuals of normal weight with a protruding stomach are at higher risk of diabetes.
“Diet composition matters most lower carbs, higher protein, and healthy fats, all within a controlled calorie range, can help reverse prediabetes even without significant weight loss,” says Dr. Misra. Good carbohydrate sources include whole grains, fruits, legumes, and non-starchy vegetables, while healthy fats come from nuts, seeds, olive oil, and fatty fish.
Physical activity also plays a crucial role. Combining resistance training, such as weightlifting at least twice a week, with aerobic exercises like walking, running, or swimming, is effective at reducing visceral fat. Adequate sleep around seven hours per night is also essential to keep blood sugar levels under control.
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Search engines like Google and Bing, and AI chatbots like ChatGPT and GPT-4, are now major sources of health information. But how reliable are they?
A new research published in the NPJ Digital Medicine tested four major search engines and seven different large AI models, including leading programs like ChatGPT and GPT-4, by asking them 150 medical questions. Their study looked at how accurate the answers were, how much the results changed based on how the question was asked, and whether giving the AI access to search results helped.
While AI Chatbots, with 80% accuracy, generally outperformed Search Engines, with 50-70% accuracy, on direct health questions, the study found that AI chatbots are good, but their mistakes are worrying.
The biggest and most dangerous problem was that the AI sometimes gave confidently wrong answers that directly disagreed with established medical facts. This is highly risky in a health setting.
The AI chatbots generally did better than search engines, correctly answering about 80% of the questions. The best performers were typically GPT-4, ChatGPT, Llama3, and MedLlama3.
Search engines like Google usually return answers that are correct when they directly address the question, but they often clutter the results with information that is incomplete or off-topic. They struggled with giving a straight "yes" or "no" answer.
The study simulated a "lazy" user, who just trusts the first answer, and a "diligent" user, who checks three sources. Surprisingly, the "lazy" users were sometimes just as accurate as the diligent ones, suggesting that top-ranked results are often good, but this is a risk if a highly ranked answer happens to be wrong.
Bing was the best among search engines, but it wasn't significantly better than Google, Yahoo!, or DuckDuckGo.
The AI's accuracy was highly sensitive to how the question was phrased. Using an "expert" prompt like asking the AI to cite reputable medical sources generally led to better, more medically sound answers, even if they were sometimes less direct.
Giving the AI the top search results before it answered (retrieval augmentation) usually improved performance, especially for smaller AI models. However, this didn't always help; if the search results given to the AI were irrelevant or low-quality, the AI's answer could actually get worse. More information isn't always better.
Some points noted by the researchers was,
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A recent scientific study found an exciting new way to check if someone is likely to get Alzheimer's disease due to their genetics. Instead of current medical tests, which are often costly, complex, and invasive, this new method uses simple eye-tracking technology. This means diagnosing the risk could become much easier for patients and more affordable for healthcare systems.
As you may know, there is currently no cure for Alzheimer's disease. This is a neurodegenerative disease that can affect a person’s memory, skills, as well as behavior. The best way to deal with this disease is by diagnosing it early, so that doctors can provide medicine and treatment options to delay the onset and manage the symptoms. However, it is not easy to spot the symptoms, so how can one know for certain whether they have Alzheimer's disease or not?
This research, which involved scientists from the University of Strathclyde, looked closely at how well this new technique works. The technology is a specific system called ViewMind Atlas. It works by monitoring a person's tiny, subtle eye movements. Then, Artificial Intelligence (AI) software analyzes these movements.
Since the eyes are closely linked to the brain, the way they move can tell doctors about the brain's health and function. The most important part is that this system can successfully identify the genetic risk in people years before they start showing any actual memory loss or other Alzheimer’s symptoms.
To test the system, the researchers studied a group of people from extended families in Colombia who have a known genetic mutation that causes Alzheimer’s. The results were incredibly promising:
For the family members who were already showing symptoms of the disease, the ViewMind Atlas test was 100% accurate in identifying them.
More remarkably, for those who carried the gene but didn't have any symptoms yet (asymptomatic), the test was 96% accurate at correctly identifying their risk. The AI model essentially learned to look at the patterns of eye movement and use them to tell apart the people who had or were likely to get Alzheimer's from those who weren't.
The research team found this eye-tracking test detects the disease earlier than standard cognitive tests, which often fail to flag a problem until it is well underway. The lead scientist, Professor Mario Parra Rodriguez, explained why this is such a big deal. He pointed out that today's common tests are "expensive and invasive," often requiring hospital procedures.
The ViewMind Atlas system, however, helps doctors predict Alzheimer’s risk years in advance. This is key for doctors, who often struggle to figure out if a patient’s mild forgetfulness is just a normal part of getting older or a serious risk of dementia. This new tool could help them act quickly to treat or manage the risk instead of having to wait for the disease to fully develop.
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