Publications

Therapy Biosimulation Using the Cellworks Computational Omics Biology Model (CBM) Is Predictive of Individual Acute Myeloid Leukemia (AML) Patient Probability of Clinical Response (CR) and Overall Survival (OS): Mycare-023

ASH Annual Meeting,

Biosimulation Using the Cellworks Computational Omics Biology Model (CBM) Predicted Novel Biomarkers for Hyper-CVAD (CVAD) Treatment Response and Combination of Rituximab and Cladribine (RC) in CVAD Resistant Cases of Mantle Cell Lymphoma (MCL)

ASH Annual Meeting,

Biosimulation Using the Cellworks Computational Omics Biology Model (CBM)-Based Assessment of Cytarabine (ARA-C) and Anthracycline Response and Novel Biomarker Response Criteria for the Addition of Etoposide (VP16) in Acute Myeloid Leukemia (AML)

ASH Annual Meeting,

Biosimulation Using the Cellworks Computational Omics Biology Model (CBM) Identifies Immune Modulation As a Key Pathway for Predicting Azacitidine (AZA) Response in Myelodysplastic Syndromes (MDS)

ASH Annual Meeting,

Biosimulation Using the Cellworks Computational Omics Biology Model (CBM) Identifies Genomic and Molecular Markers for Decitabine (DAC) Plus Valproic-Acid (VPA) Treatment Response in Patients with Myelodysplastic Syndromes (MDS)

ASH Annual Meeting,

Biosimulation Using the Cellworks Computational Omics Biology Model (CBM) Identifies Novel Biomarkers to Inform Mitoxantrone, Etoposide, and Cytarabine (MEC)-Based Combination Therapy in Refractory & Relapsed Acute Myeloid Leukemia (AML) Patients

ASH Annual Meeting,

Impact of KRAS and Co-occurring Mutations on NSCLC Master Regulator Network as Determined by Computational Omics Biology Model.

Journal of Thoracic Oncology,

Computational Omics Biology Model (CBM) Identifies PD-L1 Immunotherapy Response Criteria Based on Genomic Signature of NSCLC

Journal of Thoracic Oncology,

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