Analysis of 3D pathology samples using weakly supervised AI. (https://pubmed.ncbi.nlm.nih.gov/38729110/)

These scientists wanted to find a better way to look at human tissue, which is like a 3D puzzle, but doctors usually only see it in 2D slices. This can make it hard to see the whole picture and understand what's happening inside the body. So, they created a special computer program called TriPath that can look at the tissue in 3D and predict what might happen in the future based on its shape and features.

They tested TriPath on samples of prostate cancer tissue that they looked at in 3D using special microscopes. The results showed that by looking at the tissue in 3D, they could make better predictions about how the cancer might behave compared to the usual 2D methods that doctors use. This means that doctors could make more accurate predictions about a patient's health and provide better treatment options.

In simple terms, the scientists found a new way to look at tissue like a 3D movie instead of just pictures, and this helped them understand diseases better and predict what might happen next.

Song AH., Williams M., Williamson DFK., Chow SSL., Jaume G., Gao G., Zhang A., Chen B., Baras AS., Serafin R., Colling R., Downes MR., Farre X., Humphrey P., Verrill C., True LD., Parwani AV., Liu JTC., Mahmood F. Analysis of 3D pathology samples using weakly supervised AI. Cell. 2024 May 9;187(10):2502-2520.e17. doi: 10.1016/j.cell.2024.03.035.