AI-driven COVID-19 Management

Artificial intelligence (AI) offers a powerful new tool that could potentially be instrumental in controling and managing the SARS-CoV-2 virus. The papers in this feed report on the applications of AI to the current pandemic, which may be able to predict the location of the next outbreak, or facilitate new drug design.

July 27, 2020
Review

Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19

Current Problems in Diagnostic Radiology
Faiq ShaikhSotirios Bisdas
August 1, 2020
Preprint

Whether the Weather Will Help Us Weather the COVID-19 Pandemic: Using Machine Learning to Measure Twitter Users' Perceptions

MedRxiv : the Preprint Server for Health Sciences
M. GuptaMohammad S. Jalali
July 28, 2020
Review
Open Access

COVID-19 and Inflammatory Bowel Diseases: Risk Assessment, Shared Molecular Pathways, and Therapeutic Challenges

Gastroenterology Research and Practice
Iolanda Valentina PopaAlexandru Burlacu
July 27, 2020
Preprint
Open Access

Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine-Learning

MedRxiv : the Preprint Server for Health Sciences
J. DelafioriRodrigo Ramos Catharino
July 24, 2020
Preprint
Open Access

PACIFIC: A lightweight deep-learning classifier of SARS-CoV-2 and co-infecting RNA viruses

BioRxiv : the Preprint Server for Biology
P. Acera MateosHardip R. Patel
July 28, 2020

Mutations Strengthened SARS-CoV-2 Infectivity

Journal of Molecular Biology
Jiahui ChenGuo-Wei Wei
July 24, 2020
Preprint
Open Access

A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread

MedRxiv : the Preprint Server for Health Sciences
Raj DandekarGeorge Barbastathis
July 24, 2020
Open Access

Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients

Environmental Science and Pollution Research International
Sachin Sharma
July 25, 2020
Preprint
Open Access

Alternative Approaches for Modelling COVID-19:High-Accuracy Low-Data Predictions

MedRxiv : the Preprint Server for Health Sciences
Dewang K AgarwalD. Gupta
July 22, 2020
Preprint
Open Access

The Trans-omics Landscape of COVID-19

MedRxiv : the Preprint Server for Health Sciences
P. WuH. Yang
July 31, 2020
Open Access

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

IEEE Transactions on Medical Imaging
Longxi ZhouXin Gao
July 23, 2020

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era

Current Opinion in Ophthalmology
Joelle A HallakR V Paul Chan
August 1, 2020
Preprint

Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

BioRxiv : the Preprint Server for Biology
S. M. BaroneJonathan M. Irish
July 29, 2020
Open Access

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

Frontiers in Public Health
Celestine IwendiOhyun Jo
July 31, 2020
Open Access

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

IEEE Transactions on Medical Imaging
Guotai WangShaoting Zhang

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