Ramji V, Muralitharan B, Janakiraman G, Ganesan N. CancerStop.dev: an interactive web platform integrating prognostic data, clinical trials, and genomic resources for patient empowerment. Front Digit Health. 2026 Jul 23;8:1788996. doi: 10.3389/fdgth.2026.1788996. PMID: 42564079; PMCID: PMC13442389.
Mohapatra S, Ganesan N. Genomic profile of an IDH-wild-type glioblastoma diagnosed following TNF-α inhibitor therapy: a molecular case study. Front Oncol. 2026 Apr 28;16:1788983. doi: 10.3389/fonc.2026.1788983. PMID: 42130630; PMCID: PMC13160853.
Stitz S, Howard WA, Wheeler KA, Ganesan N, Churchill DG. Anticancer Structure–Activity Relationship in Well-Characterized Pt(IV) Compounds: Pt(CH3)2I2{6,6′-dimethyl-2,2′-bipyridine} Cytotoxicity Against Colon and Ovarian Carcinoma Cell Lines. Crystals. 2026; 16(4):263. https://doi.org/10.3390/cryst16040263
Gopalaswamy R, Ganesan N, Velmurugan K, Aravindhan V, Subbian S. The Strange Case of BCG and COVID-19: The Verdict Is Still up in the Air. Vaccines (Basel). 2020 Oct 16;8(4):612. https://doi.org/10.3390/vaccines8040612
Erkizan, H.V., Sukhadia, S., Natarajan, T.G. et al. Exome sequencing identifies novel somatic variants in African American esophageal squamous cell carcinoma. Sci Rep 11, 14814 (2021). https://doi.org/10.1038/s41598-021-94064-0
Gajalakshmi P., Natarajan T.G. (2021) Biomarkers of Oxidative Stress in Cancer, and Their Clinical Implications. In: Chakraborti S., Ray B.K., Roychowdhury S. (eds) Handbook of Oxidative Stress in Cancer: Mechanistic Aspects. Springer, Singapore. https://doi.org/10.1007/978-981-15-4501-6_174-1
Vedanth Ramji (2023), Refining Cancer Survival Analysis: Constructing Age-specific Relative Survival Graphs Using Polynomial Regression to Interpolate Age-group Based Data from the Surveillance, Epidemiology, and End Results Program, Exploratio
Vedanth Ramji, Baladithya Muralidharan, Ganeshram Janakiraman, Natarajan Ganesan; Abstract A016: Empowering ovarian cancer patients using CancerStop: A webapp for integrating survivorship data, clinical trials, and more features for improved outcomes. Cancer Res 15 September 2025; 85 (18_Supplement): A016. https://doi.org/10.1158/1538-7445.OVARIAN25-A016
Andrew Triska, Selvakumar Subbian, Natarajan Ganesan. Heterogeneous graph neural network meta-analysis of lung cancer and tuberculosis transcriptomic datasets reveals convergent host response networks. Cancer Res (2026) 86 (7_Supplement): 4193. https://doi.org/10.1158/1538-7445.AM2026-4193 .
Ganesan, Natarajan and Natarajan, Thanemozhi G., Good-Bot Bad-Bot: Addressing Bias in Chatbots and Public Health Information (July 24, 2023). Available at SSRN: https://ssrn.com/abstract=4520201 or http://dx.doi.org/10.2139/ssrn.4520201
Redirect - Authorea. July 25, 2023. DOI: 10.22541/au.169030053.36880319/v1
Natarajan Ganesan, Thanemozhi G. Natarajan. Will AI in Healthcare hasten the dystopian views seen in movies? Authorea. April 25, 2023. DOI: 10.22541/au.168245315.57964297/v1
‘Will AI Hasten a Dystopian Healthcare Landscape?’ (2023) BMJ Blog | Medical Humanities. BMJ, 29 August. Available at: https://blogs.bmj.com/medical-humanities/2023/08/29/will-ai-hasten-a-dystopian-healthcare-landscape/.
Natarajan Ganesan, Thanemozhi G. Natarajan. Amplification of EGFR mutations, vIII and vIVa, in two patients with Esophageal Squamous Cell Carcinoma, hints at common binding targets. Authorea. May 01, 2023. DOI: 10.22541/au.168245336.61680657/v2
How a Cancer Researcher Keeps Scientific Judgment at the Center of AI Research - Scispace AI Case Study
mRNA Vaccine vs other vaccines - some FAQs; Natarajan Ganesan; September 22 2020 DOI: 10.13140/RG.2.2.16316.21123