Publications

Predicting Carfilzomib Resistance Mechanisms and Therapeutics Using Computational Modelling of Genomics and Proteomics

Blood Journal,

Analysis of the Evolving MDS/AML Clones to Identify Resistance Mechanisms and Predict New Therapy Options at Relapse Using Computational Biology Modeling: Case-Studies from iCare1 Clinical Study

Blood Journal,

Computational Modelling of Multiple Myeloma Patient Genomic Signatures to Predict Treatment Outcome

Blood Journal,

Predicting Response to BET Inhibitor in Combination with Palbociclib / Sorafenib Using a Computational Model and Its Validation: A Beat AML Project Study

Blood Journal,

Predictive Analysis on Prognostic Impact of Monosomy 7 in AML and Identified Therapy Options for This Cohort

Blood Journal,

WT1 and BCORL1 Identified By Computational Biology Modeling Analysis of Patient Genomics Are Novel Predictors of Response to Azacitidine (AZA) and Lenalidomide (LEN) Treatment in Acute Myeloid Leukemia (AML)

Blood Journal,

Clinical Validation of Treatment Response Predictions Using a Genomics Driven Computational Biology Modelling Multiple Myeloma Algorithm

Blood Journal,

Azacitidine Response Prediction in MDS Patients with NGS Data Using a Computational Biology Modeling (CBM) Based Clinical Decision Support System

Blood Journal,

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