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Walk fast, it can really fight aging!

  Telomeres are cap-like structures at the end of each chromosome that contain repetitive noncoding sequences. This structure protects the chromosomes from damage, but each time the cell divides, the telomeres get shorter as the chromosomes replicate.
  When telomeres shorten to a certain extent, chromosome stability will decrease, and cells will gradually stop dividing, which is also called “replicative senescence”. Telomere length is also considered a key marker of biological age.
  The accumulation of senescent cells with very short telomeres with age is associated with many symptoms of aging, such as frailty and age-related diseases.
  A recent University of Leicester study analysed data from the UK Biobank of more than 400,000 adults and found a clear link between walking speed and genetic markers of biological age. When viewed from a telomere perspective, maintaining a fast walk can at most make the biological age younger by about 16 years, and after adjusting for other influencing factors, the physiological age can still be as much as 2 years younger.

  An artificial intelligence (AI) tool developed by American scientists can accurately predict who will develop pancreatic cancer years before being diagnosed based on CT scan images, with an accuracy rate of about 86%. According to the researchers, the AI ​​tool was able to capture and quantify very subtle early signs in CT scan images of pancreatic ductal adenocarcinoma years before it developed, which the human eye would never be able to identify.
  Pancreatic ductal adenocarcinoma is not only the most common pancreatic cancer, but also the deadliest, known as the “king of cancer”, with less than 10% of patients living more than 5 years after being diagnosed or starting treatment.
  In this latest study, scientists reviewed electronic medical records and found 36 people who had been diagnosed with cancer in the past 15 years and had CT scans 6 months to 3 years before their diagnosis, most of whom had abdominal pain in the A CT scan was performed in the emergency room. They then used the AI ​​tool to analyze pre-diagnosis CT images of pancreatic cancer patients and compared them with CT images of 36 patients without pancreatic cancer. The results showed that the model was effective in identifying who would eventually be diagnosed with pancreatic cancer. The accuracy rate for cancer was 86%.
  The artificial intelligence model detected changes in the surface of the pancreas in cancer patients and healthy controls, and these structural differences may be the result of molecular changes during pancreatic cancer progression, the researchers explained.
  The team is currently collecting data on thousands of patients from medical institutions across the United States to continue researching the predictive power of artificial intelligence tools, which they hope will detect cancer early enough to give more people the opportunity to have their tumors completely removed with surgery .

  Globally, the prevalence of type 2 diabetes is on the rise. Living near fast food restaurants increases the risk of developing type 2 diabetes, according to research published April 26 in PLOS Medicine by Marisa Miraldo of Imperial College London’s Business School and colleagues.
  To study the relationship between the density and proximity of healthy and unhealthy food stores and diabetes, the researchers linked health data with environmental survey results of 12,167 people living in Bangladesh and Sri Lanka from 2018 to 2020. They collected information such as self-reported diabetes diagnosis history and fasting blood glucose levels of residents in urban and rural areas, and then mapped the food environment. They also collected data on the location and type of food stores within 300 meters of each participant’s home. Divide various food stores into healthy or unhealthy categories.
  The researchers found that as the density of fast food restaurants near a person’s home increased, the risk of developing diabetes increased by 8%. Additionally, women and high-income earners were more likely to have higher blood sugar levels.

  Recently, the Optometry Clinical Research Team of the Eye and ENT Hospital Affiliated to Fudan University found that the size and implantation radial direction of the ICL (implantable contact lens) lens are very important for long-term safety, and confirmed that the adjustment of the ICL implantation radial direction is very important. The ideal arch height can be obtained, which provides important practical experience and evidence-based medical evidence for clinical treatment. Related research has been published in Cataract and Refractive Surgery.
  ICL is a representative technique for the treatment of myopia, especially the correction of high myopia. Unlike laser surgery for myopia, ICL implantation does not require cutting the cornea, but corrects up to 1800 degrees of myopia by inserting a flexible endoscopic lens, a refractive intraocular lens, into the eye. High definition, minimally invasive and reversible are its important features.
  ”However, the safety and success of the operation are closely related to the dome of the implanted ICL ophthalmoscope,” said Zhou Xingtao, one of the corresponding authors of the paper and a professor at the Eye and ENT Hospital Affiliated to Fudan University.
  After the endoscope is implanted, the distance between it and its own transparent lens is called the dome, which is an important index to evaluate the safety of the operation after surgery. Because ICL lenses are pre-fabricated, after preoperative examination, doctors will select appropriate lenses to implant in the patient’s eye. sexual bias.
  The team reviewed 10,258 cases of ICL in the past 6 years and found that only 22 cases needed to be adjusted after surgery. Most of them were due to individual differences in the shape and structure of the posterior chamber of the eye resulting in excessive arch height or residual astigmatism. After individual adjustment of the radial direction of ICL implantation, satisfactory visual effects and safe and stable ideal arch height were obtained in all eyes.
  On this basis, the research team deeply explored the factors related to vault height, designed the optimal radial direction of ICL implantation in advance, and finally found the best position key for ICL myopia surgery.

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