Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges

Y Ye, A Pandey, C Bawden, DM Sumsuzzman… - Nature …, 2025 - nature.com
Integrating prior epidemiological knowledge embedded within mechanistic models with the
data-mining capabilities of artificial intelligence (AI) offers transformative potential for …

A pathfinding algorithm for lowering infection exposure of healthcare personnel working in makeshift hospitals

B Rolle, R Kiran, J Straub - Healthcare, 2022 - mdpi.com
Due to the recent COVID-19 outbreak, makeshift (MS) hospitals have become an important
feature in healthcare systems worldwide. Healthcare personnel (HCP) need to be able to …

A combined neural ODE-Bayesian optimization approach to resolve dynamics and estimate parameters for a modified SIR model with immune memory

D Liu, A Sopasakis - Heliyon, 2024 - cell.com
We propose a novel hybrid approach that integrates Neural Ordinary Differential Equations
(NODEs) with Bayesian optimization to address the dynamics and parameter estimation of a …

Scenario Analysis of Vaccine Supply for COVID-19 in Japan Using Mathematical Models of Infectious Diseases

J Kim, K Matsunami, Y Ichida, K Okamura… - Journal of Chemical …, 2024 - Taylor & Francis
Vaccines suppress the increased spread of infectious diseases or the number of severe
cases. Considerable research and development yielded several vaccines against …

[PDF][PDF] A Pathfinding Algorithm for Lowering Infection Exposure of Healthcare Personnel Working in Makeshift Hospitals. Healthcare 2022, 10, 344

B Rolle, R Kiran, J Straub - 2022 - researchgate.net
Due to the recent COVID-19 outbreak, makeshift (MS) hospitals have become an important
feature in healthcare systems worldwide. Healthcare personnel (HCP) need to be able to …