1. Fenton JJ, Fang SY, Ray M, Kennedy J, Padilla K, Amundson R, Elton D, Haldeman S, Lisi A, Sico J, Wayne PM, Romano PS. Longitudinal Care Patterns and Utilization Among Patients with New-Onset Neck Pain by Initial Provider Specialty. Spine (Phila Pa 1976). 2023 Aug 1. doi: 10.1097/BRS.0000000000004781. Epub ahead of print.

2. Vizcaya D, Kovesdy CP, Reyes A, Pessina E, Pujol P, James G, Oberprieler NG. Characteristics of patients with chronic kidney disease and Type 2 diabetes initiating finerenone in the USA: a multi-database, cross-sectional study. J Comp Eff Res. 2023 Aug;12(8):e230076.

3. Cuker A, Buckley B, Mousseau MC, Barve AA, Haenig J, Bussel JB. Early initiation of second-line therapy in primary immune thrombocytopenia: insights from real-world evidence. Ann Hematol. 2023 Aug;102(8):2051-2058.

4. Chu CD, Xia F, Du Y, Singh R, Tuot DS, Lamprea-Montealegre JA, Gualtieri R, Liao N, Kong SX, Williamson T, Shlipak MG, Estrella MM. Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease. JAMA Netw Open. 2023 Jul 3;6(7):e2326230.

5. Huang Y, Li X, Dongarwar D, Wu H, Zhang GQ. Data Mining Pipeline for COVID-19 Vaccine Safety Analysis Using a Large Electronic Health Record. AMIA Jt Summits Transl Sci Proc. 2023 Jun 16;2023:271-280.

6. Dispenzieri A, Zonder J, Hoffman J, Wong SW, Liedtke M, Abonour R, D'Souza A, Lee C, Cote S, Potluri R, Ammann E, Tran N, Lam A, Nair S. Real-world treatment patterns, costs, and outcomes in patients with AL amyloidosis: analysis of the Optum EHR and commercial claims databases. Amyloid. 2023 Jun;30(2):161-168.

7. Schattenberg JM, Balp MM, Reinhart B, Tietz A, Regnier SA, Capkun G, Ye Q, Loeffler J, Pedrosa MC, Docherty M. NASHmap: clinical utility of a machine learning model to identify patients at risk of NASH in real-world settings. Sci Rep. 2023 Apr 5;13(1):5573.

8. Chandran U, Reps J, Yang R, Vachani A, Maldonado F, Kalsekar I. Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer Epidemiol Biomarkers Prev. 2023 Mar 6;32(3):337-343.

9. Youn B, Proud CM, Wang N, Hou Q, Viscidi E, Eaton S, Paradis AD, Neville BA, Johnson NB. Examining Real-World Adherence to Nusinersen for the Treatment of Spinal Muscular Atrophy Using Two Large US Data Sources. Adv Ther. 2023 Mar;40(3):1129-1140.

10. Neslusan C, Chen YW, Sharma M, Voelker J. Unmet need in major depressive disorder and acute suicidal ideation or behavior: findings from a longitudinal electronic health record data analysis. J Med Econ. 2023 Jan-Dec;26(1):1-10.

1. Wollmer P, Tufvesson E, Wennersten A, Malmqvist U, Engström G, Olsson HK, Zaigham S, Frantz S, Nihlén U. Within‐session reproducibility of forced oscillometry. Clinical Physiology and Functional Imaging. 2021 Sep;41(5):401-7.

2. Velickovic K, Rahm Hallberg I, Axelsson U, Borrebaeck CA, Rydén L, Johnsson P, Månsson J. Psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a non-clinical population in Sweden. Health and quality of life outcomes. 2020 Dec;18(1):1-0.

3. Torngren K, Rylance R, Björk J, Engström G, Frantz S, Marko-Varga G, Melander O, Nihlen U, Olsson H, Planck M, Wennersten A. Association of coronary calcium score with endothelial dysfunction and arterial stiffness. Atherosclerosis. 2020 Nov 1;313:70-5.

4. Axelsson U, Rydén L, Johnsson P, Edén P, Månsson J, Hallberg IR, Borrebaeck CA. A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study. BMC cancer. 2018 Dec;18(1):1-7.

5. Gerhardsson de Verdier M. The big three concept: a way to tackle the health care crisis? Proc Am Thorac Soc. 2008 Dec 1;5(8):800-5.