Using qRT-PCR and machine-learning approaches we identified a signature predictive of IFNb response in RRMS (Baranzini et al. PLoS Biology; 2005). Efforts directed to validating these findings in independent cohorts are currently underway in the laboratory.
We actively seek collaborations with research groups in academic institutions or industry in possession of biological material of treated subjects in MS.
|Predicting the response to IFNb in MS Samples from good (blue) and poor (red) responders overlaid onto a 3D statistical model trained with an independent dataset.|