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Literature DB >> 33560998

Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Enrico Santus^1,2, Nicola Marino^2,3, Davide Cirillo^2,4, Emmanuele Chersoni⁵, Arnau Montagud⁴, Antonella Santuccione Chadha^2,6, Alfonso Valencia^4,7, Kevin Hughes⁸, Charlotta Lindvall^9,10.

Abstract

Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes. ©Enrico Santus, Nicola Marino, Davide Cirillo, Emmanuele Chersoni, Arnau Montagud, Antonella Santuccione Chadha, Alfonso Valencia, Kevin Hughes, Charlotta Lindvall. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.03.2021.

Entities: Chemical Disease Gene Species

Keywords: COVID-19; SARS-CoV-2; artificial intelligence; epidemic; literature; monitoring; pandemic; personalized medicine; precision medicine; prevention; public health

Mesh：

Year: 2021 PMID： 33560998 PMCID： PMC7958975 DOI： 10.2196/22453

Source DB: PubMed Journal: J Med Internet Res ISSN： 1438-8871 Impact factor: 5.428

71 in total

1. The support of human genetic evidence for approved drug indications.

Authors: Matthew R Nelson; Hannah Tipney; Jeffery L Painter; Judong Shen; Paola Nicoletti; Yufeng Shen; Aris Floratos; Pak Chung Sham; Mulin Jun Li; Junwen Wang; Lon R Cardon; John C Whittaker; Philippe Sanseau
Journal: Nat Genet Date: 2015-06-29 Impact factor: 38.330

2. Genetics of COPD.

Authors: Edwin K Silverman
Journal: Annu Rev Physiol Date: 2019-11-15 Impact factor: 19.318

3. Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019.

Authors: Lu-Shan Xiao; Pu Li; Fenglong Sun; Yanpei Zhang; Chenghai Xu; Hongbo Zhu; Feng-Qin Cai; Yu-Lin He; Wen-Feng Zhang; Si-Cong Ma; Chenyi Hu; Mengchun Gong; Li Liu; Wenzhao Shi; Hong Zhu
Journal: Front Bioeng Biotechnol Date: 2020-07-31

4. Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Authors: David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustín Albillos; Pietro Invernizzi; Javier Fernández; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit M Grimsrud; Chiara Milani; Fátima Aziz; Jan Kässens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raúl de Pablo; Adolfo G Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Carreras Nolla; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julià; Antonio Pesenti; Antonio Voza; David Jiménez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Cinzia Paccapelo; Christoph Gassner; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestaña; Eduardo Muñiz-Diaz; Elena Sandoval; Elvezia M Paraboschi; Enrique Navas; Félix García Sánchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Téllez; Albert Blanco-Grau; Georg Hemmrich-Stanisak; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Iván Galván-Femenia; Javier Martín; Jeanette Erdmann; Jose Ferrusquía-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura R Bettini; Lauro Sumoy; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Malte C Rühlemann; Marco Schaefer; Maria Carrabba; Mar Riveiro-Barciela; Maria E Figuera Basso; Maria G Valsecchi; María Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angiò; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodríguez-Gandía; Monica Bocciolone; Monica Miozzo; Nicola Montano; Nicole Braun; Nicoletta Sacchi; Nilda Martínez; Onur Özer; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M Rodrigues; Aaron Blandino Ortiz; Rafael de Cid; Ricard Ferrer; Roberta Gualtierotti; Rosa Nieto; Siegfried Goerg; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Simonas Juzenas; Stefano Aliberti; Valter Monzani; Victor Moreno; Tanja Wesse; Tobias L Lenz; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero-Gómez; Mauro D'Amato; Stefano Duga; Jesus M Banales; Johannes R Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom H Karlsen
Journal: N Engl J Med Date: 2020-06-17 Impact factor: 91.245

Review 5. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Authors: Davide Cirillo; Silvina Catuara-Solarz; Czuee Morey; Emre Guney; Laia Subirats; Simona Mellino; Annalisa Gigante; Alfonso Valencia; María José Rementeria; Antonella Santuccione Chadha; Nikolaos Mavridis
Journal: NPJ Digit Med Date: 2020-06-01

6. The Need for a Mental Health Technology Revolution in the COVID-19 Pandemic.

Authors: Caroline A Figueroa; Adrian Aguilera
Journal: Front Psychiatry Date: 2020-06-03 Impact factor: 4.157

7. Key challenges for delivering clinical impact with artificial intelligence.

Authors: Christopher J Kelly; Alan Karthikesalingam; Mustafa Suleyman; Greg Corrado; Dominic King
Journal: BMC Med Date: 2019-10-29 Impact factor: 8.775

8. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence.

Authors: Nina Vindegaard; Michael Eriksen Benros
Journal: Brain Behav Immun Date: 2020-05-30 Impact factor: 7.217

9. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

Authors: Thomas Schaffter; Diana S M Buist; Christoph I Lee; Yaroslav Nikulin; Dezso Ribli; Yuanfang Guan; William Lotter; Zequn Jie; Hao Du; Sijia Wang; Jiashi Feng; Mengling Feng; Hyo-Eun Kim; Francisco Albiol; Alberto Albiol; Stephen Morrell; Zbigniew Wojna; Mehmet Eren Ahsen; Umar Asif; Antonio Jimeno Yepes; Shivanthan Yohanandan; Simona Rabinovici-Cohen; Darvin Yi; Bruce Hoff; Thomas Yu; Elias Chaibub Neto; Daniel L Rubin; Peter Lindholm; Laurie R Margolies; Russell Bailey McBride; Joseph H Rothstein; Weiva Sieh; Rami Ben-Ari; Stefan Harrer; Andrew Trister; Stephen Friend; Thea Norman; Berkman Sahiner; Fredrik Strand; Justin Guinney; Gustavo Stolovitzky; Lester Mackey; Joyce Cahoon; Li Shen; Jae Ho Sohn; Hari Trivedi; Yiqiu Shen; Ljubomir Buturovic; Jose Costa Pereira; Jaime S Cardoso; Eduardo Castro; Karl Trygve Kalleberg; Obioma Pelka; Imane Nedjar; Krzysztof J Geras; Felix Nensa; Ethan Goan; Sven Koitka; Luis Caballero; David D Cox; Pavitra Krishnaswamy; Gaurav Pandey; Christoph M Friedrich; Dimitri Perrin; Clinton Fookes; Bibo Shi; Gerard Cardoso Negrie; Michael Kawczynski; Kyunghyun Cho; Can Son Khoo; Joseph Y Lo; A Gregory Sorensen; Hwejin Jung
Journal: JAMA Netw Open Date: 2020-03-02

10. Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Authors: Bhavik N Patel; Louis Rosenberg; Gregg Willcox; David Baltaxe; Mimi Lyons; Jeremy Irvin; Pranav Rajpurkar; Timothy Amrhein; Rajan Gupta; Safwan Halabi; Curtis Langlotz; Edward Lo; Joseph Mammarappallil; A J Mariano; Geoffrey Riley; Jayne Seekins; Luyao Shen; Evan Zucker; Matthew Lungren
Journal: NPJ Digit Med Date: 2019-11-18

5 in total

Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

1. The support of human genetic evidence for approved drug indications.

2. Genetics of COPD.

3. Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019.

4. Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Review 5. Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

6. The Need for a Mental Health Technology Revolution in the COVID-19 Pandemic.

7. Key challenges for delivering clinical impact with artificial intelligence.

8. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence.

9. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.

10. Human-machine partnership with artificial intelligence for chest radiograph diagnosis.

Review 1. Personalized therapy: can it tame the COVID-19 monster?

Review 2. Data Integration Challenges for Machine Learning in Precision Medicine.

Review 3. DBHR: a collection of databases relevant to human research.

4. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets.

5. Pharmacogenomics at the post-pandemic: If not now, then when?