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Journal Articles

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

Shireen Vali, PhD, Taher Abbasi, MS, MBA, Neeraj Kumar Singh, B.Tech, Shahabuddin Usmani, M.Sc., Deepak Anil Lala, B.Tech, Poornachandra G, B.Tech, Saumya Radhakrishnan, B.Tech, Shivgonda C Birajdar, MCA, Ganesh Naga, B.Tech, Leylah M. Drusbosky, PhD, Christopher R. Cogle, MD

Blood (2018) 132 (Supplement 1): 3086.

https://doi.org/10.1182/blood-2018-99-115821

Published: 2018

Journal Articles

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

Lubomir Minarik, MD, Leylah M. Drusbosky, PhD, Taher Abbasi, MS, MBA, Karina Vargova, MBBS, MSc, Vojtech Kulvait, PhD, Anna Jonasova, MD, Neeraj Kumar Singh, B.Tech, Yashaswini S Ullal, B.E, Sirisha Narayanabhatia, M.Sc., Aktar Alam, BCA, Kunal Ghosh Roy, M.Sc., Ashish Choudhary, M.Sc., Shireen Vali, PhD, Christopher R. Cogle, MD, Tomas Stopka, MD PhD

Blood (2018) 132 (Supplement 1): 3087.

https://doi.org/10.1182/blood-2018-99-114610

Published: 2018

Journal Articles

AraC-Daunorubicin-Etoposide (ADE) Response Prediction in Pediatric AML Patients Using a Computational Biology Modeling (CBM) Based Precision Medicine Workflow

Christopher R. Cogle, MD, Taher Abbasi, MS, MBA, Neeraj Kumar Singh, B.Tech, Mohammed Sauban, B.E, Rahul K Raman, M.Sc., Robinson Vidva, B.Tech, Anuj Tyagi, M.Sc., Anay Ashok Talawdekar, M.Tech, Arko Das, M.Sc., Steven M. Kornblau, MD, Fieke W Hoff, BSc, Terzah M. Horton, MD PhD, Shireen Vali, PhD

Blood (2018) 132 (Supplement 1): 4034.

https://doi.org/10.1182/blood-2018-99-115775

Published: 2018

Journal Articles

Computational Modeling of Protein Networks Predicts Treatment Outcomes in Multiple Myeloma (MM)

Leylah M. Drusbosky, PhD, Hemant S. Murthy, MD, Helen L. Leather, Himanshu Grover, MS, Yugandhara Narvekar, MS, Pallavi Kumari, MS, Sirisha Narayanabhatia, MS, Priyanka Bhowmick, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Qing Zhang, PhD, Saad Z Usmani, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 592.

https://doi.org/10.1182/blood.V130.Suppl_1.592.592

Published: 2017

Journal Articles

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

Leylah M. Drusbosky, PhD, Robinson Vidva, BT, Saji Gera, MT, Anjanasree V. Lakshminarayana, BE, Vijayashree P. Shyamasundar, MS, Ashish Kumar Agrawal, BS, Anay Talawdekar, MT, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Cristina E. Tognon, PhD, Stephen E Kurtz, PhD, Jeffrey W. Tyner, PhD, Brian J. Druker, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 3908.

https://doi.org/10.1182/blood.V130.Suppl_1.3908.3908

Published: 2017

Journal Articles

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

Leylah M. Drusbosky, PhD, Madeleine Turcotte, MS, Paul Castillo, MD, Robinson Vidva, BT, Saji Gera, MT, Mohammed Sauban, BE, Priyanka Bhargav, BE, Punya Deep, MS, Shweta Kapoor, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Cristina E. Tognon, PhD, Stephen E Kurtz, PhD, Jeffrey W. Tyner, PhD, Brian J. Druker, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 3909.

https://doi.org/10.1182/blood.V130.Suppl_1.3909.3909

Published: 2017

Journal Articles

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 (2017) 130 (Supplement 1): 4277.

https://doi.org/10.1182/blood.V130.Suppl_1.4277.4277

Published: 2017

Journal Articles

Predictive Simulation Modeling of Early T-Cell Precursor Acute Lymphoblastic Leukemia (ETP-ALL) Patient Genomics Identifies Targeted Combination Treatment Options

Leylah M. Drusbosky, PhD, Ansu Kumar, MS, Shwetha K, BE, Priyanka Bhargav, BE, Ashish Choudhary, MS, Soumyashree L, BE, Shivgonda C. Birajdar, MCA, Kunal Ghosh Roy, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Manju Sengar, MD DM, Girish Chinnaswamy, MD MRCP, Bijal D. Shah, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 2708.

https://doi.org/10.1182/blood.V130.Suppl_1.2708.2708

Published: 2017

Journal Articles

Computational Biology Approach to Predict Hypomethylating Agent (HMA) Response Using Genomic and Clinical Characteristics in Myelodsyplastic Syndromes (MDS)

Leylah M. Drusbosky, PhD, Salah-Eddin Komrokji, Najla Al Ali, M.Sc, Neeraj Kumar Singh, B.Tech, Chandan Kumar, MT, Sumanth Vasista, BE, Diwyanshu Sahu, M.Sc., Ganesh Naga, BT, Patil Dattatraya, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, David A Sallman, MD, Rami S. Komrokji, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 2954.

https://doi.org/10.1182/blood.V130.Suppl_1.2954.2954

Published: 2017

Journal Articles

Personalized Therapy Design for Early T-Cell Precursor Acute Lymphoblastic Leukemia (ETP-ALL) Using Computational Biology Modeling with in Vitro Validation

Madeleine Turcotte, MS, Raphael Charles Bosse, BS, MD PhD, Kimberly E. Hawkins, PhD BS, Amy Meacham, MS, Vindhya Vijay, MS, Girish Chinnaswamy, MD MRCP, Manju Sengar, MD DM, Ansu Kumar, MS, Shwetha K, BE, Anisha Kamath, BT, Anjana T. Nair, MS, Karthik S. Raju, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Christopher R. Cogle, MD, Leylah M. Drusbosky, PhD

Blood (2017) 130 (Supplement 1): 1448.

https://doi.org/10.1182/blood.V130.Suppl_1.1448.1448

Published: 2017

Journal Articles

Computational Biology Model of ETP-ALL Used to Accurately Classify ETP-ALL Vs Non ETP-ALL Patients with Genomic Input

Leylah M. Drusbosky, PhD, Ansu Kumar, MS, Shwetha K, BE, Sumanth Vasista, BE, Anuj Tyagi, MS, Swaminathan Rajagopalan, MT, Aftab Alam, MS, Taher Abbasi, MS, MBA, Shireen Vali, PhD, Girish Chinnaswamy, MD MRCP, Manju Sengar, MD DM, Bijal D. Shah, MD, Christopher R. Cogle, MD

Blood (2017) 130 (Supplement 1): 1449.

https://doi.org/10.1182/blood.V130.Suppl_1.1449.1449

Published: 2017

Journal Articles

Computational Analysis of Genomic Abnormalities from a Phase 3 Trial of Rigosertib in Higher-Risk MDS: Simulation of a Predictive Signature for Clinical Response

Guillermo Garcia-Manero, MD, Michael E. Petrone, MD MPH, Steven M. Fruchtman, MD, Bernard Brownstein, MD, Hannes Loferer, PhD, Nozar Azarnia, PhD, Shireen Vali, PhD, Neeraj Kumar Singh, Shahabuddin Usmani, Himanshu Grover, Taher Abbasi, Lewis R. Silverman, MD

Blood (2016) 128 (22): 4324.

https://doi.org/10.1182/blood.V128.22.4324.4324

Published: 2016

Journal Articles

A Genomic Rule Predicting HMA Treatment Response in MDS Identified By Protein Network Mapping and Validated By Clinical Trial Simulation

Leylah Drusbosky, PhD, Neeraj Kumar Singh, Pranav Tiwari, Shireen Vali, PhD, Taher Abbasi, Sarbjit Sarkaria, Adam Lorant, Satin Burns, Rafael Bejar, MD PhD, Christopher R. Cogle, MD

Blood (2016) 128 (22): 3151.

https://doi.org/10.1182/blood.V128.22.3151.3151

Published: 2016

Journal Articles

Icare 1: A Prospective Clinical Trial to Predict Treatment Response Based on Mutanome-Informed Computational Biology in Patients with AML and MDS

Leylah Drusbosky, PhD, Elizabeth Wise, BS, Shireen Vali, PhD, Taher Abbasi, Ansu Kumar, Neeraj Kumar Singh, Kabya Basu, Chandan Kumar, Amjad Husain, Fei Zou, PhD, Caitlin Tucker, BS, Randy A Brown, MD, Maxim Norkin, MD PhD, John Hiemenz, MD, John R. Wingard, MD, Jack W Hsu, MD, Christopher R. Cogle, MD

Blood (2016) 128 (22): 594.

https://doi.org/10.1182/blood.V128.22.594.594

Published: 2016

NARROW

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

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

AraC-Daunorubicin-Etoposide (ADE) Response Prediction in Pediatric AML Patients Using a Computational Biology Modeling (CBM) Based Precision Medicine Workflow

Computational Modeling of Protein Networks Predicts Treatment Outcomes in Multiple Myeloma (MM)

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

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

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)

Predictive Simulation Modeling of Early T-Cell Precursor Acute Lymphoblastic Leukemia (ETP-ALL) Patient Genomics Identifies Targeted Combination Treatment Options

Computational Biology Approach to Predict Hypomethylating Agent (HMA) Response Using Genomic and Clinical Characteristics in Myelodsyplastic Syndromes (MDS)

Personalized Therapy Design for Early T-Cell Precursor Acute Lymphoblastic Leukemia (ETP-ALL) Using Computational Biology Modeling with in Vitro Validation

Computational Biology Model of ETP-ALL Used to Accurately Classify ETP-ALL Vs Non ETP-ALL Patients with Genomic Input

Computational Analysis of Genomic Abnormalities from a Phase 3 Trial of Rigosertib in Higher-Risk MDS: Simulation of a Predictive Signature for Clinical Response

A Genomic Rule Predicting HMA Treatment Response in MDS Identified By Protein Network Mapping and Validated By Clinical Trial Simulation

Icare 1: A Prospective Clinical Trial to Predict Treatment Response Based on Mutanome-Informed Computational Biology in Patients with AML and MDS

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ASH Publications

American Society of Hematology

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ASH Publications

American Society of Hematology

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