Integrative Perspectives on Intelligent Information Systems in Biology and Medicine

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 41

Special Issue Editors


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Guest Editor
Genomics and Machine Intelligence Lab, Department of Pathology and Laboratory Medicine, Brown University, Providence, RI 02912, USA
Interests: big data; computational biology; data mining; data visualization; databases; genomics; machine learning; network biology; next-generation sequencing; sequence analyses
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Guest Editor
Department of Cardiovascular Sciences, Houston Methodist Research Institute, Weill Cornell Medical College, Houston, TX 77030, USA
Interests: AI; bioinfomatics; epigenetics

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Guest Editor
Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
Interests: clinical bioinformatics; machine learning; AI; cancer genomics

Special Issue Information

Dear Colleagues,

This Special Issue explores the intersection of advanced information technology and biological sciences. It captures a broad range of research topics including coding theory, information security, artificial intelligence, and knowledge management, all within the context of their application in biological and medical sciences. Contributions to this issue will illustrate how cutting-edge data analysis techniques and innovations in diagnostics and personalized medicine are being shaped by the latest advancements in information systems. The featured articles will discuss sophisticated analytical methods that enhance the accuracy and speed of biological research and medical diagnostics, promoting significant improvements in patient care and health outcomes. In addition, this issue will explore the ethical, legal, and social implications of integrating these technologies into everyday healthcare practices. It will address the challenges of data privacy, security, and the responsible use of AI, providing a holistic view of the potential and limits of intelligent information systems in medicine. By combining theoretical advancements with practical applications, this Special Issue aims to enrich the dialogue between researchers, clinicians, and policymakers on how to leverage technology to address complex biological challenges and improve the efficacy of medical treatments.

Dr. Alper Uzun
Dr. Guangyu Wang
Dr. Dilber Ece Uzun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent information systems in biology
  • intelligent information systems in medicine
  • artificial intelligence and biological sciences
  • information security and biological sciences
  • knowledge management and biological and medical sciences
  • coding theory and its application to biological and medical sciences
  • data analysis techniques and innovations in diagnostics
  • personalized medicine

Published Papers

This special issue is now open for submission.
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