Vol. 3 No. 2 (2026)

View Vol. 3 No. 2 (2026)

Pages: 103-214

Published: 2026-05-26

Review

The Industrial Internet of Things Importance in Improving Pharmaceutical Operations

Wesam Fatafta, Konstantin Koshechkin, Aseel Alshoraihy, Najm Al-dain Al-sameeai, Ali Ibraheem, Mohammad Nazeer Masal, Abdulwahid Mohammed

103–109
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Bioinformatics Applications in Chronic Diseases: A Comprehensive Review of Genomic, Transcriptomics, Proteomic, Metabolomics, and Machine Learning Approaches

Taiwo Temitope Ogunjobi, Precious Nkeiruka Ohaeri, Olamide Tayo Akintola, Dorcas Oyedolapo Atanda, Friday Precious Orji, Joy Oluwatosin Adebayo, Sulaimon Olajuwon Abdul, Cyril Arinze Eji, Ayomide Balikis Asebebe, Olutunde Opeoluwa Shodipe, Oluwaferanmi Oluwamayowa Adedeji

110–127
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Mental Health Burden in Eswatini and the Need for the Integration of Digital Technologies: An Explanatory Review

Olubunmi Yemisi Fashoto, Nomalanga Dlamini, Mbuso Simelane, Dumsani Ndzinisa

128–135
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Unlocking Nature's Code: The Power of Pan-Genomics in Biological Entities

Rachana Reghu, Ramya Latha Karunakaran, Ranjani Balaji, Achsha Babu, Arun Arumugaperumal

136–147
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Research Articles

MOMMI-MP: A Comprehensive Database for Integrated Analysis of Metabolic and Microbiome Profiling of Mouse Pregnancy

Kaustubh K. Pachpor, Julianne A. Jorgensen, Medha Priyadarshini, Derek J. Reiman, Brian T. Layden, Yang Dai

148–161
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Machine Learning-Enhanced SERS on Silicon-Gold Sensors for Ultra-High-Throughput Pathogen Detection

Bryan Guilcapi, Alessia Milano, Amalia D'Avino, Domenico Sagnelli, Massimo Rippa, Valentina Marchesano, Ivan Salvatore Perrotta, Rosa Luisa Ambrosio, Giovanna Fusco, Maurizio Brigotti, Stefano Morabito, Lucia Petti

162–177
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Secure and Efficient Federated Learning for Predictive Modeling in Resource-Constrained Healthcare Systems

Alex Mirugwe, Juwa Nyirenda

178–184
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Data Mining in the COVID-19: Application of Association Rules to Analyze Epidemiological Data of Patients in Mexico

Bogart Yail Marquez, Raul Barutch Pimienta-Gallardo, Arturo Realyvásquez-Vargas

185–193
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Advancing Clinical Diagnosis Through Comparative Analysis of Machine Learning and Transformer-Based Models for Hepatitis B Detection

Akinyemi Omololu Akinrotimi, Israel Oluwabusayo Omotosho, Olugbenga Olayinka Owolabi, Oluwaseun Adewale Olubunmi, Ibrahim Garba, Ndie Ngalame Dionysius

194–205
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Towards Predicting Recurrence Risk of Differentiated Thyroid Cancer with a Hybrid Machine Learning Model

Subhagata Chattopadhyay

206–214
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