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Neelesh Lunkad, M.Tech.
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Journal Articles

Monosomy 7 and Co-Occurrent Genomic Aberrations Determine Chemotherapy Response in Acute Myeloid Leukemia (AML) Patients Using the Cellworks Omics Biology Model (CBM): Mycare-021-04

Michael Castro, MD, Drew Watson, PhD, Ansu Kumar, M.Sc., Prashant Ramachandran Nair, B.Tech., Himanshu Grover, M.S., Diwyanshu Sahu, M.Sc., Subrat Mohapatra, M.Sc., Poornachandra G, B.Tech., Ashish Agarwal, B.V.Sc., Rakhi Purushothaman Suseela, B.Tech., Naga Ganesh, B.Tech., Mohammed Sauban, B.E., Chandan Kumar, M.Tech., Rahul K Raman, M.Sc., Divya Singh, M.S., Sayani Basu, M.Tech., Neelesh Lunkad, M.Tech., Nirjhar Mundkur, B.S., Michele Dundas Macpherson, B.A.Sc., Shweta Kapoor, M.Sc., Scott Howard, MD
Journal: Blood
Blood (2020) 136 (Supplement 1): 9.
https://doi.org/10.1182/blood-2020-140087
Published: 2020
Journal Articles

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)

Brett M Stevens, PhD, Amanda Winters, MDPhD, Taher Abbasi, MS, MBA, Neeraj Kumar Singh, B.Tech, Yashaswini S Ullal, B.E, Ilu Kumari, M.Sc., Anuj Tyagi, M.Sc., Aftab Alam, M.Sc., Neelesh Lunkad, M.Tech, Leylah M. Drusbosky, PhD, Christopher R. Cogle, MD, Shireen Vali, PhD, Daniel A Pollyea, MD
Journal: Blood
Blood (2018) 132 (Supplement 1): 1538.
https://doi.org/10.1182/blood-2018-99-114429
Published: 2018