Engineers Developed an Optical Sensor That is Capable of Detecting Cancer
Engineers and physicists based at Case Western Reserve University based in Cleveland Ohio have developed an optical sensor that is capable of detecting cancer, and the metamaterials are a million times more sensitive than ones from the past meaning that soon it will be possible to detect cancer at an early stage.
Engineers and physicists based at Case Western Reserve University based in Cleveland Ohio have developed an optical sensor that is capable of detecting cancer, and the metamaterials are a million times more sensitive than ones from the past meaning that soon it will be possible to detect cancer at an early stage. It is a small device and once in use, oncologists will be able to find a molecule produced by cancer cells. Not only will detection be quicker, but clearly treatment and a plan of resistance.
Nature Materials journal describes how the nano-sensor appears to be a biological sieve and can isolate the molecule of protein even if it weighs an incredible small weight. It is also helped that diseases other than cancer will be detected and worked upon as well as cancer. A Physics professor from Case Western Reserve explained that the main benefit is the fact that the cancers can be detected while they still weigh very little and usually would have been overlooked when other methods have been used. As yet doctors do not know how much earlier they will be able to find cancer, but even a short time earlier will help to save lives.The researchers used nanostructured metamaterials 1 million times more sensitive than previous versions, enabling an early detection system for cancer.
READ ALSO: Artificial Intelligence Helps to Identify Cancer Cells Based on Blood Samples
More than 575,000 people die of cancer, and more than 1.5 million people are diagnosed with cancer per year in the US.
The researchers now need to find out the difference between specific molecules and they will start with biomarkers for the different types of cancer and they will do this by finding the variations in their light shifts. Oncologists across the world will soon test the equipment, and soon it should appear in clinics.
Story Via; Medicalnewstoday / Feature Photo; Flickr-euthman
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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