Special Issue "Application of Deep and Machine Learning in Personalized Medicine and Individualized Bioinstruments"

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: 31 December 2023 | Viewed by 206

Special Issue Editor

Dr. Mohsen Annabestani
Guest Editor
Weill Cornell Medicine, New York, NY, USA
Interests: biomedical engineering and artificial intelligence

Special Issue Information

Dear Colleagues,

In recent years, the field of healthcare has witnessed remarkable advancements through the convergence of deep learning and machine learning techniques with personalized medicine and the development of individualized bioinstruments. This exciting intersection has paved the way for transformative approaches in diagnostics, treatment selection, monitoring, and patient care. This Special Issue aims to explore the latest research and innovations in the application of deep and machine learning in personalized medicine, while also highlighting the development of individualized bioinstruments for precision healthcare.

The concept of personalized medicine has emerged as a paradigm shift in healthcare, recognizing that each individual has unique genetic variations, environmental exposures, and lifestyle factors that influence disease susceptibility and treatment response. Genomic pre-trained networks and language models for genomics have revolutionized our ability to analyze and interpret complex genetic data, enabling the identification of disease-associated variants, gene expression patterns, and novel therapeutic targets. Moreover, omics and multi-omics intelligent data analysis have provided comprehensive insights into molecular signatures, biomarkers, and disease pathways, fostering a deeper understanding of individualized disease mechanisms.

Simultaneously, the development of individualized bioinstruments has played a pivotal role in precision healthcare. AI-reinforced wearable sensors, intelligent point-of-care tests, and AI for lab-on-a-chip platforms have enabled real-time monitoring, rapid diagnostics, and personalized treatment decisions at the point of need. Deep-learning-assisted microfluidics have revolutionized the manipulation of tiny volumes of fluids with a high precision, enabling advanced diagnostic and therapeutic applications. Furthermore, smart personalized prosthetics, personalized smart garments, and intelligent wound healing patches have transformed the landscape of patient care, offering customized solutions tailored to individual needs.     

This Special Issue aims to provide a platform for researchers to present their groundbreaking research, showcasing novel methodologies, innovative applications, and significant advancements in the realm of deep and machine learning in personalized medicine and the development of individualized bioinstruments. We welcome contributions that highlight the seamless integration of computational approaches and bioinstrumentation, offering promising solutions to the challenges of personalized healthcare. Researchers from diverse disciplines are invited to submit their original research, review papers, and short communications, exploring a wide range of topics within this domain. We encourage submissions that cover various aspects, including, but not limited to, the following topics.

Personalized medicine:

  • Genomic pre-trained networks;
  • Language models for genomics;
  • Omics and multi-omics intelligent data analysis;
  • Generative AI for artificial genomes;
  • Intelligent biomarker identification;
  • AI-based clinical decision support;
  • Predictive ML for drug response.

Individualized Bio instruments:

  • AI-reinforced wearable sensors;
  • Intelligent point-of-care tests;
  • AI for lab-on-a-chip (AI-on-a-chip);
  • Deep-learning-assisted microfluidics;
  • Smart personalized prosthetics;
  • Personalized smart garments;
  • Intelligent wound healing patches.

Dr. Mohsen Annabestani
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. Journal of Personalized Medicine 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 2600 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.


  • intelligent medical devices
  • wearable biosensors
  • AI
  • machine learning
  • deep learning
  • Personalized medicine

Published Papers

This special issue is now open for submission.
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