Artificial Intelligence Helps to Identify Cancer Cells Based on Blood Samples
There is now a technique that links deep learning software and a microscope; it is now easier than ever to pinpoint cancer cells. It can be very difficult to identify cancer purely by using blood samples and while there is an age old system of…
There is now a technique that links deep learning software and a microscope; it is now easier than ever to pinpoint cancer cells. It can be very difficult to identify cancer purely by using blood samples and while there is an age old system of adding chemicals to the blood to make it easier, it then ruins that sample about any other form of tests. The abnormal structure can be used, and while useful, this takes longer, and it is also possible to identify a healthy cell as one that contains cancer.
There are researchers at the University of California in Los Angeles, are working with a special microscope and an artificial intelligence algorithm that can pick out cancer and not destroy the sample. A cancer diagnosis is now a lot quicker and easier, and therefore the treatment can start more quickly. It is also being seen as an advantage for precision medicine.The device that invented by UCLA professor uses deep learning and photonic time stretches to analyze 36 million images per second.
The microscope involved is called a photonic time stretch microscope and works by breaking nanosecond long light pulses into lines so that they can be entered into a computer. Once in there, things such as the diameter, and light absorption will be categorized. Images that have been previously analysed will be tested, and this will allow the scientist to pick out the cancerous cells. A computer is also being used to identify them.
During tests, researchers found a 17% improvement in finding cancer and they believe that soon data based diagnosis of cancer is likely.
Related Coverage
- Are Enzymes the Answer to Curing Diseases Such as Cancer and Diabetes?
- Data Recovery Gets Easier Thanks to IBM’s New Data Protection Software
- Could Artificial Intelligence Really Be Used to Attain Human Immortality?
- How Much Will Artificial Intelligence Affects Employment Rates?
- New Laser Imaging System Shows the Structure of Biological Tissue and The Dynamic Activity
Don't miss new tech stories on Google
Add TrendinTech once in the Google app and our stories appear in your news suggestions.
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.
All stories by Daniel Okafor (316)