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?

How Can Eye Trackers Detect Alzheimer’s Disease

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.

How Accurate Is This Eye Tracking Test?

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.

Can This Help Improve Early Diagnosis Rate?

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.

A video that is making rounds on social media, shared by stand-up comedian Hasan Minhaj is a conversation between him and behavioral change expert Mel Robbins. The two dove deep into something that many families may also deal with but do not ever say : hoarding.

What started as a funny story about Minhaj's mother holding onto old VHS tapes turned into an emotional discussion about memory, loss, and the human need for control.

Minhaj said that his mom still has "VHS cassette tapes stacked up in the guest room", including the 1996 movie Dunston Checks In, which he loved as a child. "We don't even have a VHS player. My children won't watch VHS, I loved that movie in 1996, but I am 39 now, we gotta move on."

However, he shares that when he tried to throw it away, it led to what he described as "nuclear war". Robbins immediately pointed out why: "She has transferred her own emotional attachment to physical objects. It is not a cassette tape, it represents something else."

Robbins explained that hoarding often is not about the objects themselves, but the about being emotionally stuck on it. She noted that "there's a very close connection between depression, OCD, and hoarding. You're dealing with a mental issue that manifests in things." This is why clutter becomes a coping mechanism, this is a way to stay in control, when other areas of life feel uncertain.

When Minhaj mentioned that his mom keeps even outdated software like Windows XP CDs, she said that the reason she is holding on to all these is because he does not call her enough. "If you do not call enough, the things remind her of you... it might remind her of a time when you lived at home, when you were younger. If she holds on to it, she stays in control."

Robbins also told Minhaj, that the habit of his mother hoarding "is not driving her crazy", but it is driving him "crazy".

Why Someone May Hoard

As per the NHS UK, the reason why someone begins hoarding could be a symptom for another condition. It could be well associated with severe depression, psychotic disorders, such as schizophrenia, or obsessive compulsive disorder (OCD).

As per a 2015 study published in the Journal of Clinical Psychiatry, hoarding behaviors occur in a variety of neuropsychiatric disorders, including OCD, schizophrenia and dementia. The act of hoarding is defined as a pattern of persistent difficulties with discarding personal possessions, even those with no clear value. In Minhaj's mother case, it is the VHS cassettes, and software CDs.

Who Is At Risk?

As per Harvard Health, it affects approximately 2 to 6% of the adult population, across genders. However, hoarding is more common in an individual who live alone. Hoarding also occurs three times as often in older adults as in the general population.

What Can Be Done?

Cognitive behavioral therapy or CBT is an option that can be considered. It focuses on addressing cognitive distortions related to fear of discarding and urges to acquire, while the behavioral component focuses on sorting through and discarding materials in a systematic and structured way.

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.

What About Study Findings?

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.

Does This Study Hold Lessons for Indians?

“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.

Why Abdominal Obesity Is a Priority

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.

What Lifestyle Interventions Help Reduce Belly Fat?

“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.

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.

Which Gave Better Answers: AI or Search Engines?

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.

Confidence in Errors

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.

Overall Accuracy

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.

Precision Problem

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.

User Habits

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.

How You Ask The Question Matters

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.

Things to Keep In Mind

Some points noted by the researchers was,

• Questions about COVID-19 were easier for both AI and search engines, likely because of the huge amount of data available about the pandemic.

• While AI is powerful, its tendency to be swayed by how you word the question and its confident errors mean we need to be very cautious about using it for medical advice.

• The overall conclusion is that AI models are promising for health information, but they are not yet fully reliable on their own. Combining them with high-quality search results is likely the best way forward, but only if the search results fed to the AI are trustworthy.