(ISSN 2573-4393)
OBM Integrative and Complementary Medicine is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. It covers all evidence-based scientific studies on integrative, alternative and complementary approaches to improving health and wellness.
Topics contain but are not limited to:
The journal publishes a variety of article types: Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.
There is no restriction on paper length, provided that the text is concise and comprehensive. Authors should present their results in as much detail as possible, as reviewers are encouraged to emphasize scientific rigor and reproducibility.
Publication Speed (median values for papers published in 2024): Submission to First Decision: 6.8 weeks; Submission to Acceptance: 14.3 weeks; Acceptance to Publication: 6 days (1-2 days of FREE language polishing included)
Special Issue
Applications of Computational Medicine in Precision Therapy and Natural Drug Research
Submission Deadline: March 15, 2026 (Open) Submit Now
Guest Editor
Sadaf Mutahir, PhD (Biography)
Associate Professor, School of Chemistry & Chemical Engineering, Linyi, China
Research Interests: Material chemistry; synthesis of new organic molecules of pharmaceutical importance; drug design; computational chemistry
Co-Editor
Muhammad Asim Khan, PhD
Associate Professor, School of Chemistry & Chemical Engineering, Linyi, China
Research Interests: Design; fabrication; synthesis; characterization and applications of challenging bio-materials and biologically active molecules
About This Topic
The field of medicine is undergoing a transformative shift with the integration of computational technologies, enabling data-driven approaches to revolutionize disease understanding, diagnosis, and treatment. This special issue, Applications of Computational Medicine in Precision Therapy and Natural Drug Research, highlights advancements in computational tools that are reshaping precision therapy and natural drug discovery. Precision therapy leverages computational models to analyze genomic, proteomic, and clinical data, enabling personalized treatments tailored to individual patients. Meanwhile, computational approaches are accelerating natural drug research by streamlining the identification, validation, and repurposing of bioactive compounds from natural sources. This issue will feature interdisciplinary research that bridges computational innovation with practical medical applications, showcasing how artificial intelligence, machine learning, and predictive modeling are driving breakthroughs in healthcare. By bringing together cutting-edge studies, this special issue aims to inspire new ideas and accelerate the translation of computational discoveries into real-world solutions, ultimately advancing precision medicine and improving patient outcomes.
Keywords
Computational medicine; precision therapy; natural drug discovery; artificial intelligence in healthcare; personalized medicine
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (icm@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
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