Bioinformatician Post-doc @Unibo.
Visiting scientist @DanaFarber and @BroadInstitute.
Studying #MM genomics for new insights and personalized medicine.
Check out our latest publication in #NatureGenetics, where we investigate the transformation from precancerous stages to #MultipleMyeloma, introducing innovative #bioinformatic strategies to model tumor evolution and predict patient progression!
https://t.co/uHFZjgmQQS
🧬New study out in #NatureCommunications! New insights into Multiple #Myeloma genomic puzzle: a subset of MM patients with worse outcomes, defined by 1q gain & 13 loss could revolutionize how to classify MM, paving the way for more tailored patient care.
https://t.co/DNPeEU2pLH
#Myeloma Paper of the Day: Multi-dimensional scaling techniques finds gain 1q & loss 13q co-occurrence identifies #myeloma patients with specific genomic, transcriptional and adverse clinical features: https://t.co/gBeNu8pcik.
Excited to share our new research @CD_AACR - MinimuMM-seq! A blood based approach for detection and WGS of circulating tumor cells for genomic profiling key myeloma biomarkers! An excellent joint effort! @JbAlberge@AuclairDan@gaddyg@IreneGhobrial#mmsm https://t.co/BJYlrCqSxA
Ci sono almeno sei ceppi principali del coronavirus SARS-CoV-2, il responsabile della pandemia di COVID-19. Ma nel complesso il virus continua a mutare poco, e questa è una buona notizia in vista dello sviluppo di vaccini efficaci.
https://t.co/MmpJ9y8fkZ
#Unibo