Data-driven Web-based Intelligent Decision Support System for Infection Management at Point-Of-Care: Case-Based Reasoning Benefits and Limitations. - Bernard Hernandez; Pau Herrero; Timothy M. Rawson; Luke S. P. Moore; Esmita Charani; Alison H. Holmes; Pantelis Georgiou (HEALTHINF, 2017)

Supervised learning for infection risk inference using pathology data. - Bernard Hernandez; Pau Herrero; Timothy M. Rawson; Luke S. P. Moore; Benjamin Evans; Christofer Toumazou; Alison H. Holmes; Pantelis Georgiou (BMC Medical Informatics Decis. Mak., 2017)

Closed-Loop Control for Precision Antimicrobial Delivery: An In Silico Proof-of-Concept. - Pau Herrero; Timothy M. Rawson; Akash Philip; Luke Stephen Prockter Moore; Alison H. Holmes; Pantelis Georgiou (IEEE Trans. Biomed. Eng., 2018)

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics. - Ahmed Al-Hindawi; Ahmed Abdulaal; Timothy M. Rawson; Saleh A. Alqahtani; Nabeela Mughal; Luke S. P. Moore (Frontiers Digit. Health, 2021)

Developing moral AI to support antimicrobial decision making. - William J. Bolton; Cosmin Badea; Pantelis Georgiou; Alison H. Holmes; Timothy M. Rawson (CoRR, 2022)

Machine learning and synthetic outcome estimation for individualised antimicrobial cessation. - William J. Bolton; Timothy M. Rawson; Bernard Hernandez; Richard Wilson 004; David Antcliffe; Pantelis Georgiou; Alison H. Holmes (Frontiers Digit. Health, 2022)

Developing moral AI to support decision-making about antimicrobial use. - William J. Bolton; Cosmin Badea; Pantelis Georgiou; Alison H. Holmes; Timothy M. Rawson (Nat. Mac. Intell., 2022)

Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review. - Bernard Hernandez; Damien K. Ming; Timothy M. Rawson; William J. Bolton; Richard Wilson 004; Vasikasin V.; John Daniels; Jesus Rodriguez-Manzano; Davies F. J.; Pantelis Georgiou; Alison H. Holmes (Artif. Intell. Medicine, 2025)