Call for papers - Computational approaches for personalized medicine

Guest Editor

Le Sun, PhD, Nanjing University of Information Science and Technology, China

Submission Status: Open | Submission Deadline: 16 July 2025

BMC Medical Informatics and Decision Making is calling for submissions to our Collection on Computational approaches for personalized medicine.

Computational techniques and medical informatics have enabled the integration of diverse data sources, including genomic, proteomic, and clinical data, to tailor medical treatments to individual patients. By leveraging machine learning algorithms, big data analytics, and bioinformatics, researchers are developing models that can predict treatment responses, optimize drug dosages, and identify potential adverse effects.

This Collection aims to explore specific computational methodologies and their applications in personalized medicine, highlighting the transformative potential of these technologies in improving patient outcomes.

Submit to Collection

Meet the Guest Editors

Back to top

Le Sun, PhD, Nanjing University of Information Science and Technology, China

Dr Le Sun is a professor in the School of Computer at Nanjing University of Information Science and Technology, China. She received her PhD degree from Victoria University, Australia, in 2016, where she was awarded the Chancellor's citation for the Best PhD Award. In 2018, she was a visiting scholar at Michigan State University. Her primary research areas include XAI, energy-efficient smart healthcare, and data mining. Over the past few years, she has authored more than 50 papers published in prestigious journals and conferences, including IEEE JSAC, IEEE TNNLS, IEEE TCYB, IEEE TITS, IEEE TSC, Info.Sci., and others. Additionally, she has successfully led and attended several projects funded by the National Natural Science Foundation of China. She actively contributes to the academic community by serving as a reviewer for many internationally recognized journals and conferences, such as PAKDD, ICWS, HISS, and more. She has also been invited to serve as a guest editor and an editorial board member for several SCI journals and EI journals, including IEEE TCE, HISS, EAAI, and Springer Nature. Furthermore, she has applied for and been granted more than 10 Chinese patents. In recognition of her achievements, Dr Sun has received entrepreneurial support from Shaoxing's "Hometown of Celebrities" Talent Program, as well as the 2022 Nanjing Overseas High-level Talent Double First prize in the competition.

About the Collection

BMC Medical Informatics and Decision Making is calling for submissions to our Collection on Computational approaches for personalized medicine.

Computational techniques and medical informatics have enabled the integration of diverse data sources, including genomic, proteomic, and clinical data, to tailor medical treatments to individual patients. By leveraging machine learning algorithms, big data analytics, and bioinformatics, researchers are developing models that can predict treatment responses, optimize drug dosages, and identify potential adverse effects.

Advancing computational approaches for personalized medicine facilitates the development of more effective and targeted therapies, minimizing the reliance on trial-and-error in treatment selection. Recent advances, such as the application of artificial intelligence in predicting patient responses to therapies and the integration of electronic health records with genomic data, have demonstrated significant promise in enhancing clinical decision-making. Continued research in this area can lead to more robust models that account for the complexities of individual patient profiles, ultimately improving healthcare delivery and outcomes.

This Collection aims to explore specific computational methodologies and their applications in personalized medicine, highlighting the transformative potential of these technologies in improving patient outcomes.

There are currently no articles in this collection.

Submission Guidelines

Back to top

This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select ''Computational approaches for personalized medicine'' from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.