TOBECHI BRENDAN NNANNA

A Narrative Review on Machine Learning Methods for Pre-Malignant Blood Cells Identification in Hematological Malignancies

Samuel Bamidele Afolabi, TOBECHI BRENDAN NNANNA, Glory Ojoma, Simon, Damian Ndubuisi NWAJEI, Victor Damilare Oladele, Adibia, Umoroye Nathan & Tobiloba Philip Olatokun · International Research Journal of Oncology · 2026

Hematological malignancies, including leukemias, lymphomas, myelomas, and myelodysplastic syndromes, impose a substantial global health burden, accounting for approximately 10% of all new cancer diagnoses worldwide. Early identification of pre-malignant blood cells a critical win...

Open access Research Article 10.9734/irjo/2026/v9i1203

The Gut–NET–ICB Axis: Microbial Metabolite-Mediated Regulation of NETosis and Implications for Cancer Immunotherapy

Islam Ariremako Jimoh, TOBECHI BRENDAN NNANNA, TAIWO MICHEAL OLUMUJI, Paul Onyekachi Ukegbu, Michael Sewanu Hungbo & Kanime Hussaini · Asian Journal of Immunology · 2025

Background: Immune checkpoint blockade (ICB) has transformed oncology, but its efficacy is limited by primary and acquired resistance. The gut microbiome is a established determinant of ICB response, while neutrophil extracellular traps (NETs) have recently emerged as key mediato...

Open access Research Article 10.9734/aji/2025/v8i1177