Diseases such as cancer are complex, involving changes on multiple biological levels. Disease-associated alterations range from the single gene level to cellular networks and tissue characteristics. Not only this, but each individual’s body presents a unique environment within which the disease manifests. Progress in treating such diseases requires application of sophisticated data analyses to multi-omic and phenotypic data in order to predict drug response and tolerability. Lyrid is committed to tackling these challenges with cutting edge science and machine learning methods to advance the state of clinical care.


From data to decisions: a personal story of scientific oncology




*DNAxFractal image generated using Malin Christersson’s image fractalizer