Find out more about MNM and the people we work with. In this section, we showcase events and our achievements.
With entire genomes at hand, scientists can pinpoint DNA fragments responsible for different cancers and predict patient responses to cancer treatments. However, the sheer volume of whole-genome data makes it difficult to encode the characteristics of genomic variants as features for machine learning algorithms.
We are very happy to announce that our abstract and related publication titled “Random similarity forests” has been accepted at this year’s European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases- #ECMLPKDD2022!
Breast cancer (BC) constitutes the most common female malignancy and nowadays molecular classification of subtypes is crucial to estimate a patient’s prognosis and administer appropriate treatment. It allows tailoring therapeutic strategy much more precisely than using a standalone IHC status.
MNM Bioscience presents its participation in the fifth DNA Repair/Replication Structures & Cancer conference (27 Apr 2022 – 01 May 2022), where speakers will focus on presenting the structural and mechanistic insights of dynamic complexes, operating in DNA repair and replication, transcription and other cancer-relevant events.
