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How AI is Transforming Teeth Straightening A Danish research team has developed a groundbreaking tool that's set to transform orthodontic care. By teaming up with the University of Copenhagen, they've created a smart solution in collaboration with 3Shape, a company specialising in dental technology. This tool uses cutting-edge artificial intelligence (AI) to revolutionise how braces are fitted onto teeth. Traditionally, fitting braces has been a hit-or-miss affair, relying heavily on the orthodontist's expertise and lots of trial and error. But this new tool changes the game by accurately predicting how teeth will move, ensuring the braces fit just right – not too tight, not too loose. Featured in IEEE Access, this tool is like a virtual patient, simulating how braces should be designed for each individual. It analyses detailed scans of teeth and bone structures, figuring out the perfect fit for braces to straighten teeth effectively and comfortably. Professor Kenny Erleben, one of the brains behind the tool, is excited about how it can cut down on the need for multiple trips to the orthodontist. And Dr Torkan Gholamalizadeh highlights how tricky it can be to predict tooth movements, especially since everyone's teeth are different. But thanks to this new tool and its extensive database, these challenges are being tackled head-on. The heart of this innovation lies in creating super-accurate 3D simulations of each patient's jaw. These simulations, based on detailed scans of teeth and the supporting structures, give dentists and technicians a crystal-clear picture of what needs to be done. In short, this new tool is a game-changer for orthodontic treatment. With its AI-powered simulations, braces can be fitted more accurately and efficiently than ever before. It's a win-win: better results for patients and a smoother experience for everyone involved.

How a 3D Model is Transforming Oral Disease Research Researchers from the University of Plymouth in England have developed a cutting-edge 3D model of the oral mucosa, offering new avenues for studying the mouth's response to various infections. Here's a summary of their findings The model, published in the Journal of Tissue Engineering, is made of cell types that are frequently present in the human body and is built using a collagen hydrogel. After a thorough testing protocol that included exposure to infections such as Staphylococcus aureus and Candida albicans, researchers noticed responses that closely matched those of actual patients. This discovery provides insights into the dynamics of oral infections by enabling the investigation of the long-term wear effects of dentures on the oral mucosa. The model's adaptability extends beyond dental health to possible uses in disorders of the digestive system, such as Crohn’s disease. The study's chief researcher, Dr Vehid Salih, highlights the model's importance in dentistry research, emphasising its potential for researching diseases including periodontal disease and oral cancer invasion as well as testing oral healthcare items. Furthermore, the model could aid in understanding the immune response to infection by incorporating various immune cell types. This remarkable laboratory model represents a significant advancement in dental research. With its ability to accurately replicate oral tissue responses, it opens new opportunities for investigating and addressing a wide range of oral health challenges.

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Research team discovers innovative method for Oral Cancer Detection Researchers at Case Western Reserve University School of Dental Medicine have made an outstanding discovery in oral cancer detection. Their new test is non-invasive, cost-effective, and can monitor precancerous lesions. Here's what you need to know about their discovery: The researchers developed a test based on the levels of two proteins in cells collected from suspicious oral lesions. These proteins, known as human beta-defensin 3 (hBD-3) and hBD-2, play crucial roles in early-stage oral cancer detection. By analysing the ratio of hBD-3 to hBD-2 in the lesion site compared to the normal site, they created a scoring system called the beta-defensin index (BDI). A high BDI score suggests the presence of cancer, while a low score indicates benign lesions. The BDI was validated independently at multiple medical centres, confirming its accuracy in distinguishing cancerous from benign lesions. Lead researcher Dr Aaron Weinberg expressed surprise at the discovery, noting that hBD-3, initially believed to aid in wound healing, actually promotes tumour growth. The patented test could reduce the need for biopsies by 95 per cent in primary care clinics, offering a less invasive option for cancer diagnosis. This breakthrough offers hope for more accurate and less invasive oral cancer detection, potentially revolutionising cancer diagnosis and management.