Jack Dunn

Burden of disease associated with human cytomegalovirus and prospects for elimination by universal immunisation

Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Digital twin modeling

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Optimization problems for machine learning: A survey

Digital twin, physics-based model, and machine learning applied to damage detection in structures

On hyperparameter optimization of machine learning algorithms: Theory and practice

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Human Cytomegalovirus Glycoprotein B Nucleoside-Modified mRNA Vaccine Elicits Antibody Responses with Greater Durability and Breadth than MF59-Adjuvanted gB Protein Immunization

Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?

Toward predictive digital twins via component-based reduced-order models and interpretable machine learning

Optimal classification trees

Mortality Risk for Patients with Cytomegalovirus Retinitis and Acquired Immune Deficiency Syndrome

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules

Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator