Personal profile

Research interests

Tumour heterogeneity at the protein level has been associated with poor prognosis in several human carcinomas. Current approaches to assess protein function rely on intensity-based methods, which are limited by the subjectivity of and specificity.  A novel assay using amplified, time-resolved Forster resonance energy transfer (FRET) is highly specific and sensitive method and can be adapted to any protein.   

The aim of my project is to combine both methods to reveal molecular heterogeneity at the protein level and using machine learning techniques translate it to interpretable format, which can be widely used by clinicians.  

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


Dive into the research topics where Elena Safrygina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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