Campaign Story

Overview

I am seeking support to fund my Master’s by Research programme, which focuses on developing an AI-driven clinical decision support system to assist healthcare professionals in generating personalized treatment plans.

The research applies argument mining, Natural Language Processing (NLP), and Machine Learning (ML) to analyse clinical guidelines, medical literature, and patient-specific data in order to support evidence-based and explainable clinical decision-making.

About the Research

Healthcare professionals often face complex and sometimes conflicting medical information when choosing appropriate treatments for patients. This research aims to address that challenge by developing a system that can:

• Extract and structure medical arguments supporting or opposing different treatment options

• Analyse patient-specific factors such as medical history, laboratory results, and other relevant clinical data

• Compare alternative treatments based on evidence strength, risk, and suitability

• Resolve conflicting recommendations by assessing the credibility of medical sources

• Generate structured, explainable treatment plans aligned with best clinical practices

The goal is not to replace clinicians, but to support informed, transparent, and patient-centred decision-making.

Why This Research Matters

Improved clinical decision support systems can help:

• Reduce inconsistencies in treatment recommendations

• Support evidence-based medical practice

• Enhance personalized care and patient outcomes

• Assist clinicians in managing complex medical information efficiently

This research has potential applications in healthcare systems seeking to integrate AI responsibly into clinical workflows.

Use of Funds

The funds raised through this campaign will be used strictly for educational and research-related expenses, including:

• Tuition fees for the Master’s by Research programme

• Research materials, software, and computational resources

• Academic and project-related costs directly connected to the research

I am personally contributing toward the total cost, and this campaign is intended to bridge the remaining funding gap.

Transparency and Accountability

Supporters will receive periodic updates on my academic progress and research milestones. All funds will be applied responsibly and exclusively to the stated educational purpose.

Your support represents an investment in postgraduate research that aims to strengthen evidence-based healthcare through ethical and explainable AI.

Thank you for taking the time to read and for any support you are able to provide.