Evidence

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Predicting Response to CDK4/6 Inhibitors and Combinations Using a Computational Biology Model and it's Validation: A Beat AML Project Study

Blood Journal,

Predicting Response to BET Inhibitors Using a Computational Model and it's Validation: A Beat AML Project Study

Blood Journal,

Predicting Response to IDH1/IDH2 Inhibitors Beyond IDH Mutations Using a Computational Model and it's Validation: A Beat AML Project Study

Blood Journal,

Digital Drug Screening and Computational Modeling Identifies Treatment Opportunities Despite Lack of Directly Actionable Mutations in Acute Myeloid Leukemia (AML) and Myelodysplastic Syndromes (MDS)

Blood Journal,

A Genomic Signature Predicting Venetoclax Treatment Response in Acute Myeloid Leukemia (AML) Identified By Protein Network Mapping and Validated By Ex Vivo Drug Sensitivity Testing

Blood Journal,

Icare 1: A Prospective Clinical Trial to Predict Treatment Response Based on Mutanome-Informed Computational Biology in Patients with Acute Myeloid Leukemia (AML) and Myelodysplastic Syndromes (MDS)

Blood Journal,

Cell genomics and immunosuppressive biomarker expression influence PD-L1 immunotherapy treatment responses in HNSCC-a computational study.

Oral Surgery Oral Medicine Oral Pathology Oral Radiology,

A computational biology method to predict HMA or lenalidomide treatment response in non-Del(5q) MDS

AACR Annual Meeting,

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