Publications & Research

Advancing healthcare through data-driven innovation and scientific inquiry

I'm committed to advancing healthcare through rigorous scientific inquiry and data-driven research. My work spans predictive maintenance, disease diagnostics, bioinformatics, and the development of impactful digital tools. Below is a selection of my peer-reviewed publications, research experience, and ongoing collaborations.

Peer-Reviewed Publications

Investigating the Use of LSTM and Time-Series Analysis in Medical Equipment Failure Prediction

IRE Journals Published October 2024
Journal Link ResearchGate (Google Scholar indexed)

Data Visualisation in Diabetes Self-Management: Empowering Patients with Actionable Insights

IRE Journals Published October 2024
Journal Link ResearchGate (Google Scholar Indexed)

Research Experience

Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)

  • Conducted differential expression and pathway enrichment analysis on public gene expression datasets from NCBI and GEO.
  • Identified three potential biomarkers for early-stage HCC, including AFP, a known biomarker thereby validating the research approach.

Design and Validation of a qPCR Assay for MRSA Detection

  • Designed and validated a qPCR assay to detect both hospital-acquired (HA) and community-acquired (CA) MRSA.
  • Performed antimicrobial susceptibility testing across identified MRSA strains.

Data-Driven Detection of Early-Stage Chronic Diseases Using Lifestyle and Diabetes Data. Ongoing

  • Exploring how diabetes and lifestyle data can predict early signs of chronic diseases, using liver cancer as a case study.
  • Supports DB GlucoTrack's Phase 3 goal of adding predictive insights to enhance early detection and intervention.