AI4Pandemics Talk #27: What’s wrong with health misinformation research,... youtu.be/6rApbf0RekY via YouTube

Symptom‐based case definitions for COVID‐19: Time and geographical variations for detection at hospital admission among 260,000 patients onlinelibrary.wiley.com/doi/10.1111/ir…

Machine learning models for diabetes management in acute care using el... sciencedirect.com/science/articl…

Scientists Use Machine Learning Models to Help Identify Long COVID Patients news.unchealthcare.org/2022/05/scient…

Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness science.org/doi/10.1126/sc…

Wang, Y., Yan, Z., Wang, D. et al. Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models. BMC Infect Dis 22, 495 (2022). doi.org/10.1186/s12879…

Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data thelancet.com/journals/landi…

A Survey on Mathematical, Machine Learning and Deep Learning Models for COVID-19 Transmission and Diagnosis pubmed.ncbi.nlm.nih.gov/33769936/

MedML: Fusing medical knowledge and machine learning models for early pediatric COVID-19 hospitalization and severi… pubmed.ncbi.nlm.nih.gov/35992304/