Tobiloba Philip Olatokun

Protein Intake Adequacy and Nutritional Status among Early Adolescents in Ile-Ife, Osun State, Nigeria: A Cross-sectional Descriptive Survey

Tobiloba Philip Olatokun, Olamide Faith Abiodun, Oluwatobi Michael Onasanya, Abdulquadri Adeoniye Adebayo, Adekunle Baki Abdulkareem, Yuliia Oliinyk, Swetha Manoj, Adediran Fahidah, Mobolaji Deborah Olabode, Oge Sunday Onwe, Lawal Habiba, Faith Ukagwu & Lucy Aja · Asian Journal of Medicine and Health · 2026

Background: Adolescence is a vital period of growth and development that requires adequate nutrition to support both physical and mental maturation. Inadequate protein intake and poor nutritional status remain public health concerns in developing countries. Aim: This study examin...

Open access Research Article 10.9734/ajmah/2026/v24i91429

Role of Gut Microbiota-Derived Metabolites in Modulating Immune Responses in Colorectal Cancer

Adedoyin Elizabeth Ayodele, Peace Chibuogwu Ugama, Tobiloba Philip Olatokun, Islam Ariremako Jimoh, Blessing Oluwapelumi Oyebamjji & Raimot Efunyinka Junaid-Eko · International Journal of Pathogen Research · 2025

Colorectal cancer (CRC) is a leading cause of global cancer mortality, with its incidence rising due to environmental and lifestyle factors. The gut microbiota influence CRC pathogenesis through the production of bioactive metabolites that modulate the host immune response. This...

Open access Research Article 10.9734/ijpr/2025/v14i5400

Lung Cancer in Non-Smokers: Integrating Histopathological Patterns, Molecular Profiles and Therapeutic Strategies

Obianujunwa Mercy Ubah, Michael Oshen Ogar, Safiyyah Temitope Ismaeel, Tobiloba Philip Olatokun, Rachel Adejoke Ojo & Lessly Kyei Poku · Journal of Cancer and Tumor International · 2025

Non-smoker lung cancer represents a distinctive clinical and pathological entity, comprising 10-25 percent of all lung cancer cases globally. It possesses a unique epidemiology, histopathology, and molecular profile that fundamentally diverges from smoking-related diseases. This...

Open access Research Article 10.9734/jcti/2025/v15i4324

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