Journal of Personalized Medicine | Top 10 Cited Papers in 2022 in the Section “Omics/Informatics”

We are pleased to invite you to read the top 10 cited papers in 2022 in Journal of Personalized Medicine (ISSN: 2075-4426) in the Section “Omics/Informatics”. The list of papers is as follows:

1. “Global Challenges to Public Health Care Systems during the COVID-19 Pandemic: A Review of Pandemic Measures and Problems”
by Roxana Filip, Roxana Gheorghita Puscaselu, Liliana Anchidin-Norocel, Mihai Dimian and Wesley K. Savage
J. Pers. Med. 2022, 12(8), 1295; https://doi.org/10.3390/jpm12081295
Available online: https://www.mdpi.com/2075-4426/12/8/1295

2. “Dysregulated miRNAs as Biomarkers and Therapeutical Targets in Neurodegenerative Diseases”
by Giulia Gentile, Giovanna Morello, Valentina La Cognata, Maria Guarnaccia, Francesca Luisa Conforti and Sebastiano Cavallaro
J. Pers. Med. 2022, 12(5), 770; https://doi.org/10.3390/jpm12050770
Available online: https://www.mdpi.com/2075-4426/12/5/770

3. “CDK1 and HSP90AA1 Appear as the Novel Regulatory Genes in Non-Small Cell Lung Cancer: A Bioinformatics Approach”
by Nirjhar Bhattacharyya, Samriddhi Gupta, Shubham Sharma, Aman Soni, Sali Abubaker Bagabir, Malini Bhattacharyya, Atreyee Mukherjee, Atiah H. Almalki, Mustfa F. Alkhanani, Shafiul Haque et al.
J. Pers. Med. 2022, 12(3), 393; https://doi.org/10.3390/jpm12030393
Available online: https://www.mdpi.com/2075-4426/12/3/393

4. “miR-155: A Potential Biomarker for Predicting Mortality in COVID-19 Patients”
by Reut Kassif-Lerner, Keren Zloto, Nadav Rubin, Keren Asraf, Ram Doolman, Gidi Paret and Yael Nevo-Caspi
J. Pers. Med. 2022, 12(2), 324; https://doi.org/10.3390/jpm12020324
Available online: https://www.mdpi.com/2075-4426/12/2/324

5. “Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation”
by Catherine Bjerre Collin, Tom Gebhardt, Martin Golebiewski, Tugce Karaderi, Maximilian Hillemanns, Faiz Muhammad Khan, Ali Salehzadeh-Yazdi, Marc Kirschner, Sylvia Krobitsch, EU-STANDS4PM consortium and Lars Kuepfer
J. Pers. Med. 2022, 12(2), 166; https://doi.org/10.3390/jpm12020166
Available online: https://www.mdpi.com/2075-4426/12/2/166

6. “The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population”
by Anurag Verma, Scott M. Damrauer, Nawar Naseer, JoEllen Weaver, Colleen M. Kripke, Lindsay Guare, Giorgio Sirugo, Rachel L. Kember, Theodore G. Drivas, Scott M. Dudek et al.
J. Pers. Med. 2022, 12(12), 1974; https://doi.org/10.3390/jpm12121974
Available online: https://www.mdpi.com/2075-4426/12/12/1974

7. “Three-Dimensional Semantic Segmentation of Diabetic Retinopathy Lesions and Grading Using Transfer Learning”
by Natasha Shaukat, Javeria Amin, Muhammad Sharif, Faisal Azam, Seifedine Kadry and Sujatha Krishnamoorthy
J. Pers. Med. 2022, 12(9), 1454; https://doi.org/10.3390/jpm12091454
Available online: https://www.mdpi.com/2075-4426/12/9/1454

8. “Image Analysis in Digital Pathology Utilizing Machine Learning and Deep Neural Networks”
by Paris Amerikanos and Ilias Maglogiannis
J. Pers. Med. 2022, 12(9), 1444; https://doi.org/10.3390/jpm12091444
Available online: https://www.mdpi.com/2075-4426/12/9/1444

9. “Epigenetics in Precision Nutrition”
by Xiang Li and Lu Qi
J. Pers. Med. 2022, 12(4), 533; https://doi.org/10.3390/jpm12040533
Available online: https://www.mdpi.com/2075-4426/12/4/533

10. “Personalized Immunotherapies for Type 1 Diabetes: Who, What, When, and How?”
by Claire Deligne, Sylvaine You and Roberto Mallone
J. Pers. Med. 2022, 12(4), 542; https://doi.org/10.3390/jpm12040542
Available online: https://www.mdpi.com/2075-4426/12/4/542