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Machine Learning in Disease Diagnosis and Treatment

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".

Deadline for manuscript submissions: 30 December 2024 | Viewed by 50

Special Issue Editor


E-Mail Website
Guest Editor
1. Lab. of Pharmacology, Department of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece 2. Institute of Agri-Food and Life Sciences, University Research and Innovation Centre, Hellenic Mediterranean University, 71003 Heraklion, Greece
Interests: epigenetics; DNA methylation; biomarker; classifier; liquid biopsy; metabolic disease; diabetes; autoML

Special Issue Information

Dear Colleagues,

Nowadays, machine learning (ML) algorithms are revolutionizing disease diagnosis and treatment, offering enhanced accuracy and efficiency over traditional methods. This Special Issue, titled “Machine Learning in Disease Diagnosis and Treatment”, explores the transformative impact of ML on medical diagnostics and therapeutic strategies. This collection showcases research at the integration of ML with (epi)genomic, transcriptomic, proteomic, and clinical data to uncover novel biomarkers, and understanding disease mechanisms at a molecular level. Key topics include the development of predictive models for early disease detection and prognosis, innovative applications of ML in analyzing complex biological data, and the integration of artificial intelligence in personalized treatment plans.

This Special Issue delves into various diseases (such as cancer, diabetes, cardiovascular diseases, and neurological disorders), showcasing case studies where ML has significantly improved diagnostic precision and patient outcomes. Overall, this Special Issue underscores the potential of ML to revolutionize precision medicine, offering insights into how these technologies can lead to more accurate diagnostics, tailored therapies, and improved patient outcomes. It serves as a valuable resource for researchers, clinicians, and healthcare professionals interested in the evolving role of machine learning in modern medicine.

Dr. Makrina Karaglani
Guest Editor

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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. 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

  • machine learning
  • diagnosis
  • treatment
  • algorithm
  • predictive
  • artificial intelligence

Published Papers

This special issue is now open for submission.
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