New article from PharmaTox-affiliated researchers!

In the November issue of Nature Machine Intelligence, you can read about “immuneML”; an open-source software ecosystem developed to overcome the current limitations when using machine learning to identify patterns in adaptive immune receptor repertoires (AIRRs). “ImmuneML” was realised by great collaborative and multidisciplinary work, including several PharmaTox-affiliated researchers.

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Overview of the functionality of “immuneML”. Illustration:

Adaptive immune receptor repertoires (AIRRs), including the receptors of B and T cells, reflect both past and current immune state. To this end, using machine learning (ML) on AIRRs is ideal for the application of AIRRs in diagnostic and therapeutic discoveries, as ML can identify complex sequence patterns. However, there is currently a paucity in the adoption of AIRR ML, due to challenges related to reproducibility, transparency, and interoperability.

To overcome these limitations, a multidisciplinary collaboration at the University of Oslo, including several PharmaTox-affiliated researchers, has realised an open-source software ecosystem: “immuneML”. The software is accessible to users, clinicians and researchers alike, to promote the adoption of AIRR-based diagnostic and therapeutic discoveries.

Read more about “immuneML” in Nature Machine Intelligence, and try out “immuneML” here. Remember to visit “immuneML” on Twitter!

Published Nov. 18, 2021 5:42 PM - Last modified Nov. 18, 2021 5:47 PM