[4] Markowetz's research combines machine learning and artificial intelligence with experimental techniques ranging from single cell sequencing to tissue imaging to understand the mechanisms behind chromosomal instability; how to target cancer weaknesses with therapies; how to overcome resistance to treatment; and how to improve the early detection of cancer.
His team have developed a compendium of 17 copy number signatures characterising different types of chromosomal instability.
[5][6][7][8][9][10] This research has led to the formation of Tailor Bio, a genomics company which aims to build a new pan-cancer precision medicine platform.
[11] Markowetz's research has created artificial intelligence approaches to analyse data from the Cytosponge, a minimally invasive device to detect a precursor of oesophageal cancer.
This work automates labour-intensive tasks and refines pathology biomarkers to identify the patients at the highest risk of developing cancer.