Enhancing Computational Biology-Based Pathogen Detection Techniques Using AI: A Case Study of Federal University, Dutsin-Ma, Katsina State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Pathogen detection is critical for identifying and responding to infectious diseases, particularly in regions where emerging pathogens are a constant threat. Traditional pathogen detection techniques, such as PCR and culturing, have limitations, including high costs, time consumption, and the need for specialized expertise. Computational biology, particularly when combined with artificial intelligence (AI), offers promising alternatives for improving pathogen detection. AI-powered techniques such as machine learning, deep learning, and pattern recognition can enhance the speed, accuracy, and efficiency of pathogen detection by analyzing vast datasets and identifying subtle biological patterns. This study at Federal University, Dutsin-Ma, Katsina State, aims to explore the application of AI in enhancing computational biology-based pathogen detection techniques, which could play a crucial role in managing public health threats in Nigeria.
Statement of the Problem
In many developing countries, including Nigeria, there is a lack of rapid, cost-effective, and accurate diagnostic tools for detecting emerging pathogens. While computational biology methods have shown promise in pathogen detection, their application is often limited by the availability of training data, the complexity of the algorithms, and the need for specialized computational resources. This study seeks to investigate how AI can enhance computational biology methods to improve pathogen detection in Nigerian healthcare settings, where timely and accurate detection is critical for disease prevention.
Objectives of the Study
-
To explore the application of AI in enhancing computational biology-based pathogen detection techniques.
-
To assess the effectiveness of AI models in identifying pathogens from genomic data.
-
To develop an AI-enhanced pathogen detection framework for use at Federal University, Dutsin-Ma, Katsina State.
Research Questions
-
How can AI enhance computational biology-based pathogen detection techniques?
-
What is the effectiveness of AI in identifying pathogens from genomic data?
-
How can AI-powered pathogen detection systems be implemented at Federal University, Dutsin-Ma?
Significance of the Study
This study will contribute to improving pathogen detection systems, offering faster, more accurate diagnostic capabilities. By leveraging AI in computational biology, the study will provide a significant step toward more efficient public health monitoring and response to infectious diseases in Nigeria.
Scope and Limitations of the Study
The study will focus on AI-enhanced pathogen detection techniques in computational biology at Federal University, Dutsin-Ma. Limitations include the availability of comprehensive genomic datasets for pathogen detection and the computational resources required to develop and implement AI models.
Definitions of Terms
-
Pathogen Detection: The process of identifying the presence of disease-causing organisms, such as bacteria, viruses, or fungi, through various diagnostic methods.
-
Artificial Intelligence (AI): The simulation of human intelligence in machines that are programmed to think and learn from experience.
Computational Biology: The use of computational techniques and models to study and analyze biological systems and data
Related Project Materials
An evaluation of the impact of school principals’ leadership style on teacher job satisfaction in Ado-Odo/Ota Local Government Area, Ogun State.
Background of the Study
Leadership within educational institutions significantly influences teacher job satisfaction, which in turn affec...
IMPACT OF INVENTORY VALUATION METHODS ON THE PROFITABILITY OF CHAMPIONS BREWERIES
Abstract
The research work titled “impact of inventory valuation methods on the profitability of Champion Brewerie...
An Examination of the Role of Sensory Marketing in Consumer Decision-Making: A Case Study of Dangote Group in Kano State
Background of the Study
Sensory marketing refers to the use of sensory stimuli—such as sight, sound, taste, touch,...
The Impact of Digital Infrastructure on Urban Economic Competitiveness in Nigeria
Background of the Study
Digital infrastructure—including broadband networks, data centers, and mobile connectivity&md...
THE ROLE OF COMPLIANCE POLICIES IN ACHIEVING REGULATORY ADHERENCE
Abstract: THE ROLE OF COMPLIANCE POLICIES IN ACHIEVING REGULATORY ADHERENCE
This resea...
An appraisal of the contribution of remittances to local economic development in Ikot Ekpene Local Government Area, Akwa Ibom State
Background of the Study
Remittances, defined as funds transferred by migrants to their home communities,...
AN ASSESSMENT OF DESIGN AND IMPLEMENTATION OF LANGUAGE TRANSLATOR (A CASE STUDY OF BENIN LANGUAGE)
INTRODUCTION
Electronic Benin Phrasebook is a computer-based system (processed by Assembler) that was developed to spec...
An Evaluation of the Role of Corporate Social Responsibility in Environmental Management in Nigeria
Background of the Study
Corporate Social Responsibility (CSR) has emerged as a significant mechanism for companies to cont...
Exploring the Role of Virtual Hackathons in Promoting Software Development Skills in Secondary Schools in Bida Local Government Area, Niger State
Background of the Study
The increasing demand for software development skills in the g...
Budgetary Control Using Cost Accounting Tools in Gashua Local Government Area
Chapter One: Introduction
Background of the Study
Budgetary control is a crucial aspect of financial management that allows org...
