Author

Naga Ganesh

Observed names: Ganesh Naga, Ganesh, Naga

Observed institution: Cellworks Research (India)

OpenAlex ID: A5076169026

Prediction of Clinical Response for Frontline Treatment of Acute Myeloid Leukemia (AML) Patients Using the Cellworks Omics Biology Model (CBM): Mycare-021-02

2020 · Michael Castro, Prashant Ramachandran Nair, et al. · Blood · 2

Superior therapy response predictions for patients with glioblastoma (GBM) using Cellworks Singula: MyCare-009-03.

2020 · Patrick Y. Wen, Drew Watson, et al. · Journal of Clinical Oncology · 2

Superior therapy response predictions for patients with low-grade glioma (LGG) using Cellworks Singula: MyCare-009-04.

2020 · Manmeet Singh Ahluwalia, Drew Watson, et al. · Journal of Clinical Oncology · 2

Fine-Tuning and Evaluating Conversational AI for Agricultural Advisory

2026 · Singh, Sanyam, Ganesh, Naga, et al. · arXiv (Cornell University) · 1

An Efficient Diagnosis Pattern Generation Procedure for Multi Faults in Digital Circuits

2020 · Naga Ganesh, Madhava Rao Alla, et al. · Solid State Technology · 1

Configurable Multi-Stage Vision Pipeline for Crop Disease and Pest Diagnosis

2026 · Ganesh, Naga, S, Chandrashekar M, et al. · arXiv (Cornell University)

Model-Agnostic and Language-Agnostic Voice Pipeline Improvement for the Agriculture Domain

2026 · Singh, Aakash, Pedapudi, Lakshmi, et al. · arXiv (Cornell University)

Cellworks Omics Biology Model (CBM) to predict therapy response and identify novel biomarkers for 5FU-based combination therapy in gastric cancer patients.

2021 · Michael Castro, Ansu Kumar, et al. · Journal of Clinical Oncology

Cellworks Omics Biology Model (CBM) to identify amplifications of chromosome 11p and 1p predict paclitaxel and carboplatin resistance.

2021 · Michael Castro, Ansu Kumar, et al. · Journal of Clinical Oncology

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

2020 · Michael Castro, Drew Watson, et al. · Blood

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

2018 · Andrej Besse, Christopher R. Cogle, et al. · Blood

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

2018 · Shireen Vali, Taher Abbasi, et al. · Blood

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

2017 · Leylah Drusbosky, Salah-Eddin Komrokji, et al. · Blood

Works count: 13

Citation count: 8

H-index: 2

I10-index: