Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.
On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea.
In ISA transactions
Alafif Tarik, Alotaibi Reem, Albassam Ayman, Almudhayyani Abdulelah
2021-Jan-05
COVID-19, Classification, Decease, Decision tree, Isolation, Multinomial logistic regression, Prediction, Random forest, Release

Machine Learning Model For Computational Tracking and Forecasting the COVID-19 Dynamic Propagation.
In IEEE journal of biomedical and health informatics
Serra Ginalber L O, Gomes Daiana Caroline Dos Santos
2021-Jan-15

Distant Domain Transfer Learning for Medical Imaging.
In IEEE journal of biomedical and health informatics
Niu Shuteng, Liu Meryl, Liu Yongxin, Wang Jian, Song Houbing
2021-Jan-15

Learning the language of viral evolution and escape.
In Science (New York, N.Y.)
Hie Brian, Zhong Ellen D, Berger Bonnie, Bryson Bryan
2021-01-15
Patient Journey Map to Improve the Home Isolation Experience of Persons with Mild COVID-19 Symptoms: Design Research for Service Touchpoints of Artificial Intelligence in eHealth.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
He Qian, Du Fei, Simonse Lianne W L
2021-Jan-10

Predicting the intention to use mobile learning during Coronavirus Pandemic through Machine Learning Algorithms.
In JMIR medical education
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Salloum Th Said Abdelrahim, Akour Iman, Alshurideh Nd Muhammad, Al Kurdi Rd Barween, Al Ali Th Amal
2021-Jan-13

Federated Learning used for predicting outcomes in SARS-COV-2 patients.
In Research square
Flores Mona, Dayan Ittai, Roth Holger, Zhong Aoxiao, Harouni Ahmed, Gentili Amilcare, Abidin Anas, Liu Andrew, Costa Anthony, Wood Bradford, Tsai Chien-Sung, Wang Chih-Hung, Hsu Chun-Nan, Lee C K, Ruan Colleen, Xu Daguang, Wu Dufan, Huang Eddie, Kitamura Felipe, Lacey Griffin, Corradi Gustavo César de Antônio, Shin Hao-Hsin, Obinata Hirofumi, Ren Hui, Crane Jason, Tetreault Jesse, Guan Jiahui, Garrett John, Park Jung Gil, Dreyer Keith, Juluru Krishna, Kersten Kristopher, Rockenbach Marcio Aloisio Bezerra Cavalcanti, Linguraru Marius, Haider Masoom, AbdelMaseeh Meena, Rieke Nicola, Damasceno Pablo, Silva Pedro Mario Cruz E, Wang Pochuan, Xu Sheng, Kawano Shuichi, Sriswa Sira, Park Soo Young, Grist Thomas, Buch Varun, Jantarabenjakul Watsamon, Wang Weichung, Tak Won Young, Li Xiang, Lin Xihong, Kwon Fred, Gilbert Fiona, Kaggie Josh, Li Quanzheng, Quraini Abood, Feng Andrew, Priest Andrew, Turkbey Baris, Glicksberg Benjamin, Bizzo Bernardo, Kim Byung Seok, Tor-Diez Carlos, Lee Chia-Cheng, Hsu Chia-Jung, Lin Chin, Lai Chiu-Ling, Hess Christopher, Compas Colin, Bhatia Deepi, Oermann Eric, Leibovitz Evan, Sasaki Hisashi, Mori Hitoshi, Yang Isaac, Sohn Jae Ho, Murthy Krishna Nand Keshava, Fu Li-Chen, de Mendonça Matheus Ribeiro Furtado, Fralick Mike, Kang Min Kyu, Adil Mohammad, Gangai Natalie, Vateekul Peerapon, Elnajjar Pierre, Hickman Sarah, Majumdar Sharmila, McLeod Shelley, Reed Sheridan, Graf Stefan, Harmon Stephanie, Kodama Tatsuya, Puthanakit Thanyawee, Mazzulli Tony, Lavor Vitor de Lima, Rakvongthai Yothin, Lee Yu Rim, Wen Yuhong
2021-Jan-08

Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.
In Scientific reports ; h5-index 158.0
Lopez-Rincon Alejandro, Tonda Alberto, Mendoza-Maldonado Lucero, Mulders Daphne G J C, Molenkamp Richard, Perez-Romero Carmina A, Claassen Eric, Garssen Johan, Kraneveld Aletta D
2021-01-13
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
In Scientific reports ; h5-index 158.0
Ebrahimian Shadi, Homayounieh Fatemeh, Rockenbach Marcio A B C, Putha Preetham, Raj Tarun, Dayan Ittai, Bizzo Bernardo C, Buch Varun, Wu Dufan, Kim Kyungsang, Li Quanzheng, Digumarthy Subba R, Kalra Mannudeep K
2021-01-13

Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence.
In Dental materials : official publication of the Academy of Dental Materials
OBJECTIVE :
METHODS :
RESULTS :
SIGNIFICANCE :
Rosa Vinicius, Ho Dean, Sabino-Silva Robinson, Siqueira Walter L, Silikas Nikolaos
2021-Jan-10
COVID-19, Coating, Coronavirus, Diagnostic, Infection, Nanomaterial, Nanotechnology, Pandemic, Saliva, Vaccine

Deep learning in the quest for compound nomination for fighting COVID-19.
In Current medicinal chemistry ; h5-index 49.0
Mernea Maria, Martin Eliza C, Petrescu Andrei-José, Avram Speranta
2021-Jan-13
SARS-CoV-2, deep learning, drug design, drug repurposing.\n, drug-target interactions, virtual screening

COVID-19: Short-term forecast of ICU beds in times of crisis.
In PloS one ; h5-index 176.0
Goic Marcel, Bozanic-Leal Mirko S, Badal Magdalena, Basso Leonardo J
2021

Are college campuses superspreaders? A data-driven modeling study.
In Computer methods in biomechanics and biomedical engineering
Lu Hannah, Weintz Cortney, Pace Joseph, Indana Dhiraj, Linka Kevin, Kuhl Ellen
2021-Jan-13
COVID-19, Coronavirus, SEIR model, epidemiology, machine learning

An Efficient Method for Coronavirus Detection Through X-rays using deep Neural Network.
In Current medical imaging
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS AND CONCLUSION :
Rao P Srinivasa, Bheemavarapu Pradeep, Kalyampudi P S Latha, Rao T V Madhusudhana
2021-Jan-12
Coronavirus, VGG19, chest x-ray radiographs, convolutional neural network., covid-19, real time – polymerase chain reaction

Pandemic Equation for Describing and Predicting COVID19 Evolution.
In Journal of healthcare informatics research
Shur Michael
2021-Jan-07
COVID19, Mitigation, Pandemic, Quarantine

Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms.
In Multimedia tools and applications
Arpaci Ibrahim, Huang Shigao, Al-Emran Mostafa, Al-Kabi Mohammed N, Peng Minfei
2021-Jan-07
COVID-19, Classification algorithms, Diagnosis, Machine learning, Novel coronavirus, Prediction

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays.
In Neural computing & applications
Singh Rajeev Kumar, Pandey Rohan, Babu Rishie Nandhan
2021-Jan-08
COVID-19, Chest X-rays, Deep learning, Ensemble learning, ExplainableAI, GANs

The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning.
In Scientific reports ; h5-index 158.0
Brooks Nathan A, Puri Ankur, Garg Sanya, Nag Swapnika, Corbo Jacomo, Turabi Anas El, Kaka Noshir, Zemmel Rodney W, Hegarty Paul K, Kamat Ashish M
2021-01-12

Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera.
In Journal of diabetes science and technology ; h5-index 38.0
BACKGROUND :
METHOD :
RESULTS :
CONCLUSIONS :
Malerbi Fernando Korn, Andrade Rafael Ernane, Morales Paulo Henrique, Stuchi José Augusto, Lencione Diego, de Paulo Jean Vitor, Carvalho Mayana Pereira, Nunes Fabrícia Silva, Rocha Roseanne Montargil, Ferraz Daniel A, Belfort Rubens
2021-Jan-12
Covid-19, artificial intelligence, diabetic retinopathy, mobile healthcare, point-of-care, screening, telemedicine
A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning.
In Interdisciplinary sciences, computational life sciences
Alakus Talha Burak, Turkoglu Ibrahim
2021-Jan-12
AVL tree, COVID-19, Deep learning, Protein mapping, SARS-COV-2

Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images.
In Signal, image and video processing
Kc Kamal, Yin Zhendong, Wu Mingyang, Wu Zhilu
2021-Jan-07
COVID-19, Chest X-ray, Deep convolution neural network, SARS, Transfer learning
A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).
In Scientific reports ; h5-index 158.0
Pan Feng, Li Lin, Liu Bo, Ye Tianhe, Li Lingli, Liu Dehan, Ding Zezhen, Chen Guangfeng, Liang Bo, Yang Lian, Zheng Chuansheng
2021-01-11

Using image-based haplotype alignments to map global adaptation of SARS-CoV-2
bioRxiv Preprint
Ouellette, T. W.; Shaw, J.; Awadalla, P.
2021-01-13

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19.
In Cognitive computation
Ibrahim Abdullahi Umar, Ozsoz Mehmet, Serte Sertan, Al-Turjman Fadi, Yakoi Polycarp Shizawaliyi
2021-Jan-04
AlexNet, Bacterial pneumonia, COVID-19, Chest X-rays images (CXR), Non-COVID-19 viral pneumonia

A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset.
In Cognitive computation
Khalifa Nour Eldeen M, Smarandache Florentin, Manogaran Gunasekaran, Loey Mohamed
2021-Jan-04
CNN, COVID-19, Coronavirus, Deep transfer learning, Neutrosophic, SARS-CoV-2

Sociological modeling of smart city with the implementation of UN sustainable development goals.
In Sustainability science
** :
Supplementary Information :
Kolesnichenko Olga, Mazelis Lev, Sotnik Alexander, Yakovleva Dariya, Amelkin Sergey, Grigorevsky Ivan, Kolesnichenko Yuriy
2021-Jan-03
API-sociology, Community wellness, Logical artificial intelligence, Smart and healthy city, Sociology of smart city, Sustainable development goals
Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.
In Soft computing
Han Tao, Gois Francisco Nauber Bernardo, Oliveira Ramsés, Prates Luan Rocha, Porto Magda Moura de Almeida
2021-Jan-05
AutoML, COVID-19, Forecast, Kalman Filter
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method.
In Neural computing & applications
** :
Supplementary Information :
Li Simin, Lin Yulan, Zhu Tong, Fan Mengjie, Xu Shicheng, Qiu Weihao, Chen Can, Li Linfeng, Wang Yao, Yan Jun, Wong Justin, Naing Lin, Xu Shabei
2021-Jan-05
COVID-19, China, Machine learning, Mortality, Prediction

Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.
In The Journal of supercomputing
Ramanathan Shalini, Ramasundaram Mohan
2021-Jan-04
COVID-19, Classification, Feature extraction, Machine learning, RT-PCR test, TF-IDF, Text data mining

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
In Annals of operations research
Khalilpourazari Soheyl, Hashemi Doulabi Hossein
2021-Jan-03
COVID-19 pandemic, Machine learning, Reinforcement learning, SARS-Cov-2, SIDARTHE

Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared.
In Journal of nondestructive evaluation
Müller David, Ehlen Andreas, Valeske Bernd
2021
Artificial intelligence, Health monitoring, Intelligent sensors, Machine learning, Thermography

Big data augmentated business trend identification: the case of mobile commerce.
In Scientometrics
Saritas Ozcan, Bakhtin Pavel, Kuzminov Ilya, Khabirova Elena
2021-Jan-05
COVID-19, Global trends, Horizon scanning, M-commerce, Machine learning, Natural language processing, Tech mining

Nursing and precision predictive analytics monitoring in the acute and intensive care setting: An emerging role for responding to COVID-19 and beyond.
In International journal of nursing studies advances
Keim-Malpass Jessica, Moorman Liza P
2021-Nov
Acuity assessment, COVID-19, Clinical deterioration, Continuous predictive analytics monitoring, Nursing, Precision surveillance

Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic.
In International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management
Shastri Sourabh, Singh Kuljeet, Kumar Sachin, Kour Paramjit, Mansotra Vibhakar
2021-Jan-03
Artificial intelligence, Covid-19, Deep learning, LSTM, Nested ensemble

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images.
In Frontiers in medicine
Gunraj Hayden, Wang Linda, Wong Alexander
2020
COVID-19, SARS-CoV-2, computed tomography, deep learning, image classification, pneumonia

Predicting the European stock market during COVID-19: A machine learning approach.
In MethodsX
Khattak Mudeer Ahmed, Ali Mohsin, Rizvi Syed Aun R
2021
Coronavirus, Europe, Least Absolute Shrinkage and Selection Operator (LASSO), Stock markets

SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2.
In Sustainable cities and society
Nagrath Preeti, Jain Rachna, Madan Agam, Arora Rohan, Kataria Piyush, Hemanth Jude
2021-Mar
Bottleneck, Convolutional Neural Network, Data augmentation, Fine tuning, MobileNetV2

E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network.
In Journal of ambient intelligence and humanized computing
Murugan R, Goel Tripti
2021-Jan-02
Automatic diagnosis, COVID-19, Convolutional neural network, Coronavirus, Deep learning, Extreme learning machine, ResNet

COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19.
In Cognitive computation
Keles Ayturk, Keles Mustafa Berk, Keles Ali
2021-Jan-06
CXR radiographs, Convolutional neural network, Novel coronavirus, Pneumonia, Residual network, SARS-CoV-2
Glycemic status affects the severity of coronavirus disease 2019 in patients with diabetes mellitus: an observational study of CT radiological manifestations using an artificial intelligence algorithm.
In Acta diabetologica ; h5-index 40.0
AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Lu Xiaoting, Cui Zhenhai, Pan Feng, Li Lingli, Li Lin, Liang Bo, Yang Lian, Zheng Chuansheng
2021-Jan-08
AI, Blood glucose, COVID-19, CT, DM
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Xu Ming, Ouyang Liu, Han Lei, Sun Kai, Yu Tingting, Li Qian, Tian Hua, Safarnejad Lida, Zhang Hengdong, Gao Yue, Bao Forrest Sheng, Chen Yuanfang, Robinson Patrick, Ge Yaorong, Zhu Baoli, Liu Jie, Chen Shi
2021-01-06
COVID-19, biomedical imaging, deep learning, diagnosis, diagnosis support, diagnostic, differentiation, feature fusion, imaging, machine learning, multimodal, testing

COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning.
In International journal of environmental research and public health ; h5-index 73.0
Alomari Ebtesam, Katib Iyad, Albeshri Aiiad, Mehmood Rashid
2021-01-01
Arabic language, COVID-19, Triple Bottom Line (TBL), Twitter, apache spark, big data, coronavirus, distributed computing, machine learning, smart cities, smart governance, smart healthcare, social media

How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning.
In Journal of religion and health
Nooripour Roghieh, Hosseinian Simin, Hussain Abir Jaafar, Annabestani Mohsen, Maadal Ameer, Radwin Laurel E, Hassani-Abharian Peyman, Pirkashani Nikzad Ghanbari, Khoshkonesh Abolghasem
2021-Jan-04
Covid-19, Hope, Machine learning, Resiliency, Spiritual well-being, Stress

How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study.
In medRxiv : the preprint server for health sciences
Background :
Methods :
Findings :
Interpretation :
Funding :
Research in context :
Alarid-Escudero Fernando, Gracia Valeria, Luviano Andrea, Peralta Yadira, Reitsma Marissa B, Claypool Anneke L, Salomon Joshua A, Studdert David M, Andrews Jason R, Goldhaber-Fiebert Jeremy D
2020-Dec-22

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity.
In bioRxiv : the preprint server for biology
** :
Data Availability :
Li Guangyuan, Iyer Balaji, Prasath V B Surya, Ni Yizhao, Salomonis Nathan
2020-Dec-24

Analyzing the vast coronavirus literature with CoronaCentral.
In bioRxiv : the preprint server for biology
Lever Jake, Altman Russ B
2020-Dec-22

Emerging SARS-CoV-2 diversity revealed by rapid whole genome sequence typing.
In bioRxiv : the preprint server for biology
Background :
Methods :
Results :
Conclusions :
Moustafa Ahmed M, Planet Paul J
2020-Dec-28

Machine learning-based prediction of COVID-19 diagnosis based on symptoms.
In NPJ digital medicine
Zoabi Yazeed, Deri-Rozov Shira, Shomron Noam
2021-Jan-04
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia.
In International journal of environmental research and public health ; h5-index 73.0
Aljameel Sumayh S, Alabbad Dina A, Alzahrani Norah A, Alqarni Shouq M, Alamoudi Fatimah A, Babili Lana M, Aljaafary Somiah K, Alshamrani Fatima M
2020-12-30
Arabic sentiment analysis, K-nearest neighbor, N-gram, Twitter, machine learning, natural language processing, naïve bayes, support vector machine
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
In Diagnostics (Basel, Switzerland)
Guiot Julien, Vaidyanathan Akshayaa, Deprez Louis, Zerka Fadila, Danthine Denis, Frix Anne-Noëlle, Thys Marie, Henket Monique, Canivet Gregory, Mathieu Stephane, Eftaxia Evanthia, Lambin Philippe, Tsoutzidis Nathan, Miraglio Benjamin, Walsh Sean, Moutschen Michel, Louis Renaud, Meunier Paul, Vos Wim, Leijenaar Ralph T H, Lovinfosse Pierre
2020-Dec-30
COVID-19, artificial intelligence, computed tomography, machine learning, radiomics
Artificial Intelligence Model of Drive-Through Vaccination Simulation.
In International journal of environmental research and public health ; h5-index 73.0
Asgary Ali, Valtchev Svetozar Zarko, Chen Michael, Najafabadi Mahdi M, Wu Jianhong
2020-12-31
COVID-19 pandemic, artificial intelligence, discrete event simulation, drive-through, mass vaccination
Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia.
In Tuberculosis and respiratory diseases
Background :
Methods :
Results :
Conclusion :
Hahm Cho Rom, Lee Young Kyung, Oh Dong Hyun, Ahn Mi Young, Choi Jae-Phil, Kang Na Ree, Oh Jungkyun, Choi Hanzo, Kim Suhyun
2021-Jan-05
COVID-19, Computed tomography, Oxygenation, Pneumonia, artificial intelligence
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Vaid Akhil, Jaladanki Suraj K, Xu Jie, Teng Shelly, Kumar Arvind, Lee Samuel, Somani Sulaiman, Paranjpe Ishan, De Freitas Jessica K, Wanyan Tingyi, Johnson Kipp W, Bicak Mesude, Klang Eyal, Kwon Young Joon, Costa Anthony, Zhao Shan, Miotto Riccardo, Charney Alexander W, Böttinger Erwin, Fayad Zahi A, Nadkarni Girish N, Wang Fei, Glicksberg Benjamin S
2020-Dec-14
The RSNA International COVID-19 Open Annotated Radiology Database (RICORD).
In Radiology ; h5-index 91.0
Tsai Emily B, Simpson Scott, Lungren Matthew, Hershman Michelle, Roshkovan Leonid, Colak Errol, Erickson Bradley J, Shih George, Stein Anouk, Kalpathy-Cramer Jaysheree, Shen Jody, Hafez Mona, John Susan, Rajiah Prabhakar, Pogatchnik Brian P, Mongan John, Altinmakas Emre, Ranschaert Erik R, Kitamura Felipe C, Topff Laurens, Moy Linda, Kanne Jeffrey P, Wu Carol C
2021-Jan-05
Deployment of artificial intelligence for radiographic diagnosis of COVID-19 pneumonia in the emergency department.
In Journal of the American College of Emergency Physicians open
Objective :
Methods :
Results :
Conclusions :
Carlile Morgan, Hurt Brian, Hsiao Albert, Hogarth Michael, Longhurst Christopher A, Dameff Christian
2020-Dec
Algorithms, COVID‐19, artificial intelligence, computers and society, deep learning, emergency medicine, informatics, machine learning, radiology
FCOD: Fast COVID-19 Detector based on deep learning techniques.
In Informatics in medicine unlocked
Panahi Amir Hossein, Rafiei Alireza, Rezaee Alireza
2021
COVID-19 detection, Chest X-ray images, Deep learning, Image processing, Medical applications, Radiology images

Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review.
In Frontiers in medicine
Islam Md Mohaimenul, Poly Tahmina Nasrin, Walther Bruno Andreas, Yang Hsuan Chia, Wang Cheng-Wei, Hsieh Wen-Shyang, Atique Suleman, Salmani Hosna, Alsinglawi Belal, Lin Ming Ching, Jian Wen Shan, Jack Li Yu-Chuan
2020
COVID-19, CT-scan, SARS–CoV-2, coronavirus, pregnant women

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic-A South American Perspective.
In Frontiers in public health
Chatterjee Parag, Tesis Andreína, Cymberknop Leandro J, Armentano Ricardo L
2020
COVID-19, artificial intelligence, healthcare, internet of things, machine learning, pandemic, ubiquitous, virtual healthcare
ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study.
In Royal Society open science
Gill Dipender, Arvanitis Marios, Carter Paul, Hernández Cordero Ana I, Jo Brian, Karhunen Ville, Larsson Susanna C, Li Xuan, Lockhart Sam M, Mason Amy, Pashos Evanthia, Saha Ashis, Tan Vanessa Y, Zuber Verena, Bossé Yohan, Fahle Sarah, Hao Ke, Jiang Tao, Joubert Philippe, Lunt Alan C, Ouwehand Willem Hendrik, Roberts David J, Timens Wim, van den Berge Maarten, Watkins Nicholas A, Battle Alexis, Butterworth Adam S, Danesh John, Di Angelantonio Emanuele, Engelhardt Barbara E, Peters James E, Sin Don D, Burgess Stephen
2020-Nov
COVID-19, Mendelian randomization, angiotensin-converting enzyme inhibitors, genetic epidemiology

Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis.
In Frontiers in neurology
Planchuelo-Gómez Álvaro, Trigo Javier, de Luis-García Rodrigo, Guerrero Ángel L, Porta-Etessam Jesús, García-Azorín David
2020
COVID-19, headache disorders, machine learning, migraine, tension-type headache

Multi-criterion Intelligent Decision Support system for COVID-19.
In Applied soft computing
Aggarwal Lakshita, Goswami Puneet, Sachdeva Shelly
2021-Mar
Covid-19, Epidemiology, Learning method, Machine learning, Multi-criterion Intelligent Decision Support system

Risk factors related to the severity of COVID-19 in Wuhan.
In International journal of medical sciences
Zhao Chen, Bai Yan, Wang Cencen, Zhong Yanyan, Lu Na, Tian Li, Cai Fucheng, Jin Runming
2021
COVID-19, machine learning, moderate cases, prognostic prediction, risk factors, severe prognosis, severity

ResGNet-C: A graph convolutional neural network for detection of COVID-19.
In Neurocomputing
Yu Xiang, Lu Siyuan, Guo Lili, Wang Shui-Hua, Zhang Yu-Dong
2020-Dec-30
COVID-19, Deep learning, Graph neural network, Pneumonia, ResGNet-C

A National US Survey of Pediatric Emergency Department Coronavirus Pandemic Preparedness.
In Pediatric emergency care
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Auerbach Marc A, Abulebda Kamal, Bona Anna Mary, Falvo Lauren, Hughes Patrick G, Wagner Michael, Barach Paul R, Ahmed Rami A
2021-Jan-01

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia.
In Journal of visualized experiments : JoVE
Cattabriga Arrigo, Cocozza Maria Adriana, Vara Giulio, Coppola Francesca, Golfieri Rita
2020-12-19

Immune Computation and COVID-19 Mortality: A Rationale for IVIg.
In Critical reviews in immunology
Cohen Irun R, Efroni Sol, Atlan Henri
2020

Ivermectin as a potential drug for treatment of COVID-19: an in-sync review with clinical and computational attributes.
In Pharmacological reports : PR
INTRODUCTION :
METHODS :
CONCLUSION :
Kaur Harpinder, Shekhar Nishant, Sharma Saurabh, Sarma Phulen, Prakash Ajay, Medhi Bikash
2021-Jan-03
COVID-19, Ivermectin, SARS-CoV-2, Treatment
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.
In Reviews in cardiovascular medicine
Suri Jasjit S, Puvvula Anudeep, Majhail Misha, Biswas Mainak, Jamthikar Ankush D, Saba Luca, Faa Gavino, Singh Inder M, Oberleitner Ronald, Turk Monika, Srivastava Saurabh, Chadha Paramjit S, Suri Harman S, Johri Amer M, Nambi Vijay, Sanches J Miguel, Khanna Narendra N, Viskovic Klaudija, Mavrogeni Sophie, Laird John R, Bit Arindam, Pareek Gyan, Miner Martin, Balestrieri Antonella, Sfikakis Petros P, Tsoulfas George, Protogerou Athanasios, Misra Durga Prasanna, Agarwal Vikas, Kitas George D, Kolluri Raghu, Teji Jagjit, Porcu Michele, Al-Maini Mustafa, Agbakoba Ann, Sockalingam Meyypan, Sexena Ajit, Nicolaides Andrew, Sharma Aditya, Rathore Vijay, Viswanathan Vijay, Naidu Subbaram, Bhatt Deepak L
2020-12-30
COVID-19, artificial intelligence, cardiovascular, myocarditis, non-invasive monitoring, risk assessment

Interpretable detection of novel human viruses from genome sequencing data
bioRxiv Preprint
Bartoszewicz, J. M.; Seidel, A.; Renard, B. Y.
2021-01-04

A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.
In Interdisciplinary sciences, computational life sciences
Rasheed Jawad, Hameed Alaa Ali, Djeddi Chawki, Jamil Akhtar, Al-Turjman Fadi
2021-Jan-02
Artificial neural network, COVID-19, Computer-aided diagnosis, Image classification, Principal component analysis
Network machine learning maps phytochemically rich "Hyperfoods" to fight COVID-19.
In Human genomics
Laponogov Ivan, Gonzalez Guadalupe, Shepherd Madelen, Qureshi Ahad, Veselkov Dennis, Charkoftaki Georgia, Vasiliou Vasilis, Youssef Jozef, Mirnezami Reza, Bronstein Michael, Veselkov Kirill
2021-01-02
Antiviral, COVID-19, Drug repositioning, Food, Gene-gene networks, Interactomics, Machine learning, SARS-CoV-2

National preparedness survey of pediatric intensive care units with simulation centers during the coronavirus pandemic.
In World journal of critical care medicine ; h5-index 22.0
BACKGROUND :
AIM :
METHODS :
RESULTS :
CONCLUSIONS :
Abulebda Kamal, Ahmed Rami A, Auerbach Marc A, Bona Anna M, Falvo Lauren E, Hughes Patrick G, Gross Isabel T, Sarmiento Elisa J, Barach Paul R
2020-Dec-18
COVID-19, Pediatric intensive care unit, Practice innovations, Preparedness, Simulation, Training

TW-SIR: time-window based SIR for COVID-19 forecasts.
In Scientific reports ; h5-index 158.0
Liao Zhifang, Lan Peng, Liao Zhining, Zhang Yan, Liu Shengzong
2020-12-31

A model to rate strategies for managing disease due to COVID-19 infection.
In Scientific reports ; h5-index 158.0
Wang Shiyan, Ramkrishna Doraiswami
2020-12-31
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.