Browsing by Author "Mwanyika, Gaspary"

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    Biotechnological Innovations to Combat Antimicrobial Resistance and Advance Global Health Equity.
    (MDPI, 2025-09-05) Rugarabamu, Sima; Mwanyika, Gaspary
    Antimicrobial resistance (AMR) is a growing global health emergency that threatens the effectiveness of modern medicine, exacerbating healthcare costs, morbidity, and mortality, particularly in low- and middle-income countries (LMICs). Traditional approaches to antimicrobial development and stewardship have proven inadequate in curbing the rapid emergence and spread of resistant pathogens. This review explores cutting-edge biotechnological innovations as sustainable, precision-based solutions to combat AMR and promote global health equity. A comprehensive narrative review was conducted using literature published between 2018 and 2023 from PubMed, ScienceDirect, and Web of Science. Peer-reviewed studies focusing on novel antimicrobial strategies were thematically analyzed, with attention to efficacy, feasibility, and translational readiness. Key innovations identified include nanotechnology-enhanced antimicrobial delivery, bacterio-phage therapy, CRISPR-Cas gene editing, immunotherapy, and personalized medicine.These strategies demonstrated substantial in vitro and in vivo efficacy, such as >90% MRSA biofilm reduction via silver nanoparticles and 95% carbapenem susceptibility restoration in E. coli using CRISPR-Cas9. When integrated with machine learning and rapid diagnostics, these approaches enable precision-targeted therapies and data-informed stewardship, offering scalable solutions adaptable to diverse healthcare systems. Antimicrobial resistance demands urgent, equitable innovation. Integrating biotechnologies like CRISPR, phage therapy, and nanomedicine with data-driven tools offers promising solutions. To ensure real-world impact, we recommend establishing regionally tailored translational research platforms and public–private partnerships as the most effective strategy to scale innovations and strengthen AMR response in low-resource settings.
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    GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases
    (Wellcome Open Research, 2025-05-29) Brittain, John-Stuart; Inward, Rhys; Mwanyika, Gaspary; Tegally, Houriiyah; Githinji, George; Tsui , Joseph; Gutierrez, Bernardo; Huynh, Tuyen; Kifle Tessema, Sofonias; McCrone, John T.; Bhatt, Samir; Dasgupta, Abhishek; Ratcliffe, Stephen; Kraemer, Moritz U.G.
    The increase in volume and diversity of relevant data on infectious diseases and their drivers provides opportunities to generate new scientific insights that can support ‘real-time’ decision-making in public health across outbreak contexts and enhance pandemic preparedness. However, utilising the wide array of clinical, genomic, epidemiological, and spatial data collected globally is difficult due to differences in data preprocessing, data science capacity, and access to hardware and cloud resources. To facilitate large-scale and routine analyses of infectious disease data at the local level (i.e. without sharing data across borders), we developed GRAPEVNE (Graphical Analytical Pipeline Development Environment), a platform enabling the construction of modular pipelines designed for complex and repetitive data analysis workflows through an intuitive graphical interface