AI-based technique determines cancer cells by their acidity
Healthy and cancer cells can look similar under a microscope. One way of differentiating them is by examining the level of acidity, or pH level, inside the cells.
Tapping on this distinguishing characteristic, a research team from the National University of Singapore (NUS) has developed a technique that uses artificial intelligence (AI) to determine whether a single cell is healthy or cancerous by analyzing its pH. Each cancer test can be completed in under 35 minutes, and single cells can be classified with an accuracy rate of more than 95 per cent.
The research, led by Professor Lim Chwee Teck, Director of the Institute for Health Innovation & Technology (iHealthtech) at NUS, was first published in the journal
AI-Based Technique may Lead to Faster, Accurate Cancer Diagnosis
Written by AZoRoboticsMar 17 2021
Both cancer and healthy cells can appear almost the same under a microscope. One way to distinguish these cells is to examine the pH level, or the level of acidity, within them.
The simple and low-cost technique developed by NUS researchers can accurately monitor and analyze living cells without causing any toxicity to the cells or the need to kill them. Image Credit: National University of Singapore.
Exploiting this unique feature, a team of researchers from the National University of Singapore (NUS) has devised a method that makes use of artificial intelligence (AI) to find out whether a single cell is cancerous or healthy by simply examining its pH level.