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1
American Society of Clinical Oncology Statement: A Conceptual Framework to Assess the Value of Cancer Treatment Options
American Society of Clinical Oncology Statement: A Conceptual Framework to Assess the Value of Cancer Treatment Options
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American Society of Clinical Oncology Statement: A Conceptual Framework to Assess the Value of Cancer Treatment Options

Journal of clinical oncology, 2015-08, Vol.33 (23), p.2563-2577 [Peer Reviewed Journal]

2015 by American Society of Clinical Oncology 2015 American Society of Clinical Oncology ;ISSN: 0732-183X ;EISSN: 1527-7755 ;DOI: 10.1200/jco.2015.61.6706 ;PMID: 26101248

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2
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
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Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation

The New England journal of medicine, 2019-11, Vol.381 (20), p.1909-1917 [Peer Reviewed Journal]

Copyright © 2019 Massachusetts Medical Society. All rights reserved. ;Copyright © 2019 Massachusetts Medical Society. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa1901183 ;PMID: 31722151

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3
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
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Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests

BMJ (Online), 2016-01, Vol.352, p.i6-i6 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to ;Copyright: 2016 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to 2016 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.i6 ;PMID: 26810254

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4
An Individualized Risk Calculator for Research in Prodromal Psychosis
An Individualized Risk Calculator for Research in Prodromal Psychosis
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An Individualized Risk Calculator for Research in Prodromal Psychosis

The American journal of psychiatry, 2016-10, Vol.173 (10), p.980-988 [Peer Reviewed Journal]

Copyright © 2016 by the American Psychiatric Association 2016 ;Copyright American Psychiatric Publishing, Inc. Oct 1, 2016 ;ISSN: 0002-953X ;EISSN: 1535-7228 ;DOI: 10.1176/appi.ajp.2016.15070890 ;PMID: 27363508 ;CODEN: AJPSAO

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5
Prediction models for cardiovascular disease risk in the general population: systematic review
Prediction models for cardiovascular disease risk in the general population: systematic review
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Prediction models for cardiovascular disease risk in the general population: systematic review

BMJ (Online), 2016-05, Vol.353, p.i2416-i2416 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. ;Copyright BMJ Publishing Group LTD May 16, 2016 ;Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to 2016 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.i2416 ;PMID: 27184143

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6
Digital pathology and artificial intelligence
Digital pathology and artificial intelligence
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Digital pathology and artificial intelligence

The lancet oncology, 2019-05, Vol.20 (5), p.e253-e261 [Peer Reviewed Journal]

2019 Elsevier Ltd ;Copyright © 2019 Elsevier Ltd. All rights reserved. ;2019. Elsevier Ltd ;ISSN: 1470-2045 ;EISSN: 1474-5488 ;DOI: 10.1016/S1470-2045(19)30154-8 ;PMID: 31044723

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7
The preregistration revolution
The preregistration revolution
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The preregistration revolution

Proceedings of the National Academy of Sciences - PNAS, 2018-03, Vol.115 (11), p.2600-2606 [Peer Reviewed Journal]

Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Mar 13, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1708274114 ;PMID: 29531091

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8
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score
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Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score

BMJ, 2020-09, Vol.370, p.m3339-m3339 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. BMJ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. 2020 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m3339 ;PMID: 32907855

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9
NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data
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NetMHCpan-4.0: Improved Peptide-MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

The Journal of immunology (1950), 2017-11, Vol.199 (9), p.3360-3368 [Peer Reviewed Journal]

Copyright © 2017 by The American Association of Immunologists, Inc. ;Copyright American Association of Immunologists Nov 1, 2017 ;ISSN: 0022-1767 ;EISSN: 1550-6606 ;DOI: 10.4049/jimmunol.1700893 ;PMID: 28978689

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10
Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance
Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance
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Patterns of myocardial injury in recovered troponin-positive COVID-19 patients assessed by cardiovascular magnetic resonance

European Heart Journal, 2021-05, Vol.42 (19), p.1866-1878 [Peer Reviewed Journal]

The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. 2021 ;The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. ;2021. This work is licensed under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0195-668X ;EISSN: 1522-9645 ;DOI: 10.1093/eurheartj/ehab075 ;PMID: 33596594

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11
Predicting Survival in Patients With Pulmonary Arterial Hypertension: The REVEAL Risk Score Calculator 2.0 and Comparison With ESC/ERS-Based Risk Assessment Strategies
Predicting Survival in Patients With Pulmonary Arterial Hypertension: The REVEAL Risk Score Calculator 2.0 and Comparison With ESC/ERS-Based Risk Assessment Strategies
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Predicting Survival in Patients With Pulmonary Arterial Hypertension: The REVEAL Risk Score Calculator 2.0 and Comparison With ESC/ERS-Based Risk Assessment Strategies

Chest, 2019-08, Vol.156 (2), p.323-337 [Peer Reviewed Journal]

Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved. ;EISSN: 1931-3543 ;DOI: 10.1016/j.chest.2019.02.004 ;PMID: 30772387

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12
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
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Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

Gut, 2019-01, Vol.68 (1), p.94-100 [Peer Reviewed Journal]

Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted. ;2019 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2019 ;ISSN: 0017-5749 ;EISSN: 1468-3288 ;DOI: 10.1136/gutjnl-2017-314547 ;PMID: 29066576

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13
Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection
Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection
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Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection

Cochrane database of systematic reviews, 2021-03, Vol.3, p.CD013705-CD013705 [Peer Reviewed Journal]

Copyright © 2021 The Authors. Cochrane Database of Systematic Reviews published by John Wiley & Sons, Ltd. on behalf of The Cochrane Collaboration. ;EISSN: 1469-493X ;DOI: 10.1002/14651858.CD013705.pub2 ;PMID: 33760236

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14
Scaling up COVID-19 rapid antigen tests: promises and challenges
Scaling up COVID-19 rapid antigen tests: promises and challenges
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Scaling up COVID-19 rapid antigen tests: promises and challenges

The Lancet infectious diseases, 2021-09, Vol.21 (9), p.e290-e295 [Peer Reviewed Journal]

2021 Elsevier Ltd ;Copyright © 2021 Elsevier Ltd. All rights reserved. ;2021. Elsevier Ltd ;2021 Elsevier Ltd. All rights reserved. 2021 Elsevier Ltd ;ISSN: 1473-3099 ;EISSN: 1474-4457 ;DOI: 10.1016/S1473-3099(21)00048-7 ;PMID: 33636148

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15
2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer
2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer
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2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer

Thyroid (New York, N.Y.), 2016-01, Vol.26 (1), p.1-133 [Peer Reviewed Journal]

2016, Mary Ann Liebert, Inc. ;Copyright 2016, Mary Ann Liebert, Inc. 2016 ;ISSN: 1050-7256 ;EISSN: 1557-9077 ;DOI: 10.1089/thy.2015.0020 ;PMID: 26462967

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16
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Journal of clinical epidemiology, 2019-06, Vol.110, p.12-22 [Peer Reviewed Journal]

2019 Elsevier Inc. ;Copyright © 2019 Elsevier Inc. All rights reserved. ;2019. Elsevier Inc. ;ISSN: 0895-4356 ;EISSN: 1878-5921 ;DOI: 10.1016/j.jclinepi.2019.02.004 ;PMID: 30763612

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17
Revision of the International Society of Nephrology/Renal Pathology Society classification for lupus nephritis: clarification of definitions, and modified National Institutes of Health activity and chronicity indices
Revision of the International Society of Nephrology/Renal Pathology Society classification for lupus nephritis: clarification of definitions, and modified National Institutes of Health activity and chronicity indices
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Revision of the International Society of Nephrology/Renal Pathology Society classification for lupus nephritis: clarification of definitions, and modified National Institutes of Health activity and chronicity indices

Kidney international, 2018-04, Vol.93 (4), p.789-796 [Peer Reviewed Journal]

2018 International Society of Nephrology ;Copyright © 2018 International Society of Nephrology. Published by Elsevier Inc. All rights reserved. ;Copyright Elsevier Limited Apr 2018 ;ISSN: 0085-2538 ;EISSN: 1523-1755 ;DOI: 10.1016/j.kint.2017.11.023 ;PMID: 29459092

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18
The 2017 Bethesda System for Reporting Thyroid Cytopathology
The 2017 Bethesda System for Reporting Thyroid Cytopathology
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The 2017 Bethesda System for Reporting Thyroid Cytopathology

Thyroid (New York, N.Y.), 2017-11, Vol.27 (11), p.1341-1346 [Peer Reviewed Journal]

2017, Mary Ann Liebert, Inc. ;ISSN: 1050-7256 ;EISSN: 1557-9077 ;DOI: 10.1089/thy.2017.0500 ;PMID: 29091573

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19
DNA methylation GrimAge strongly predicts lifespan and healthspan
DNA methylation GrimAge strongly predicts lifespan and healthspan
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DNA methylation GrimAge strongly predicts lifespan and healthspan

Aging (Albany, NY.), 2019-01, Vol.11 (2), p.303-327

Copyright © 2018 Lu et al. ;ISSN: 1945-4589 ;EISSN: 1945-4589 ;DOI: 10.18632/aging.101684 ;PMID: 30669119

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20
How well do network models predict observations? On the importance of predictability in network models
How well do network models predict observations? On the importance of predictability in network models
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How well do network models predict observations? On the importance of predictability in network models

Behavior research methods, 2018-04, Vol.50 (2), p.853-861 [Peer Reviewed Journal]

The Author(s) 2017 ;EISSN: 1554-3528 ;DOI: 10.3758/s13428-017-0910-x

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