Use of citation analysis to predict the outcome of the 2001 Research Assessment Exercise for Unit of Assessment (UoA) 61: Library and Information Management, . - Alison H. Holmes; Charles Oppenheim (Inf. Res., 2001)

"On call: antibiotics"- development and evaluation of a serious antimicrobial prescribing game for hospital care. - Enrique Castro-Sánchez; Esmita Charani; Luke Moore; Myriam Gharbi; Alison H. Holmes (GFHEU, 2014)

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)

Rapid detection of Klebsiella pneumoniae using an auto-calibrated ISFET-array Lab-on-Chip platform. - Jesus Rodriguez-Manzano; Nicholas Miscourides; Kenny Malpartida-Cardenas; Ivana Pennisi; Nicolas Moser 001; Alison H. Holmes; Pantelis Georgiou (BioCAS, 2019)

Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data. - Kate Honeyford; Graham S. Cooke; Anne Kinderlerer; Elizabeth Williamson; Mark Gilchrist; Alison H. Holmes; The Sepsis Big Room; Ben Glampson; Abdulrahim Mulla; Ceire Costelloe (J. Am. Medical Informatics Assoc., 2020)

Network memory in the movement of hospital patients carrying antimicrobial-resistant bacteria. - Ashleigh C. Myall; Robert L. Peach; Andrea Y. Weiße; Siddharth Mookerjee; Frances Davies; Alison H. Holmes; Mauricio Barahona (Appl. Netw. Sci., 2021)

System dynamics modelling to formulate policy interventions to optimise antibiotic prescribing in hospitals. - Nina J. Zhu; Raheelah Ahmad; Alison H. Holmes; Julie V. Robotham; Reda M. Lebcir; Rifat A. Atun (J. Oper. Res. Soc., 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)

The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality. - Damien K. Ming; Nguyen M. Tuan; Bernard Hernandez; Sorawat Sangkaew; Nguyen L. Vuong; Ho Q. Chanh; Nguyen V. V. Chau; Cameron P. Simmons; Bridget Wills; Pantelis Georgiou; Alison H. Holmes; Sophie Yacoub (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)

Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness. - Bernard Hernandez; Oliver Stiff; Damien K. Ming; Ho Q. Chanh; Nguyen L. Vuong; Nguyen M. Tuan; Chau Nguyen Van Vinh; Nguyet Minh Nguyen; Huy Nguyen Quang; Lam Phung Khanh; Dong Thi Hoai Tam; Trung Dinh The; et al. (Frontiers Digit. Health, 2023)

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings. - Stefan Karolcík; Damien K. Ming; Sophie Yacoub; Alison H. Holmes; Pantelis Georgiou (IEEE Trans. Biomed. Circuits Syst., 2023)

Deep Domain Adaptation Enhances Amplification Curve Analysis for Single-Channel Multiplexing in Real-Time PCR. - Ye Mao; Ke Xu 006; Luca Miglietta; Louis Kreitmann; Nicolas Moser 001; Pantelis Georgiou; Alison H. Holmes; Jesus Rodriguez-Manzano (IEEE J. Biomed. Health Informatics, 2023)

Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. - Quang Huy Nguyen; Damien K. Ming; An Phuoc Luu; Ho Q. Chanh; Dong Thi Hoai Tam; Nguyen Thanh Truong; Vo Xuan Huy; Bernard Hernandez; Jennifer Ilo Van Nuil; Chris Paton; Pantelis Georgiou; Nguyet Minh Nguyen; et al. (BMC Medical Informatics Decis. Mak., 2023)

Live Demonstration: A Low-cost Wearable Continuous Monitoring Platform for Dengue. - Xin Wang; Khayle Torres; Yuting Xu; Stefan Karolcík; Damien K. Ming; Sophie Yacoub; Alison H. Holmes; Pantelis Georgiou (ISCAS, 2024)

Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. - Damien K. Ming; John Daniels; Ho Q. Chanh; Stefan Karolcík; Bernard Hernandez; Vasileios Manginas; Van Hao Nguyen; Quang Huy Nguyen; Tu Qui Phan; Thi Hue Tai Luong; Huynh Trung Trieu; Alison Helen Holmes; et al. (npj Digit. Medicine, 2024)

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)