Application of single circulating tumor cell sequencing in liquid biopsies collected from ovarian cancer patients
How is artificial intelligence used in modern medicine? Where do the two disciplines meet?
Follow Maksym Jopek, a bioinformatician from the Division of Translational Oncology as he explains the role of deep neural networks in processing massive amount of information generated by liquid biopsies and sequencing data in the project aiming to develop a new method for early cancer detection.
Learn why adding a layer of interpretability to such data is so crucial.
The main project he is currently involved in aims to develop a new method for earlier ovarian cancer detection. Single cell RNA sequencing of blood cells generates large amounts of data. By feeding the data from sequenced liquid biopsies to deep neural networks, we can discriminate between healthy donors and patients with cancer. In the fututre we also hope to predict the cancer type or therapy response.