Applications of Large Language Models in Medical and Biomedical Data Processing

Dear Colleagues,

Large language models, such as GPT-3.5, have shown tremendous potential in natural language processing and have emerged as a valuable tool for medical and biomedical data processing. This Special Issue aims to explore the diverse applications of large language models in these domains, highlighting their impact, methodologies, and potential for advancing healthcare and biomedical research. The proposed Special Issue will feature research articles, case studies, and review papers that delve into the application of large language models in medical and biomedical data processing. We invite researchers, practitioners, and industry experts to contribute their original work, focusing on the innovative use of these models in areas such as clinical text analysis, electronic health records (EHR) processing, medical image analysis, biomedical literature mining, drug discovery, patient monitoring, and personalized medicine.

The Special Issue will provide a platform to showcase the latest advancements, discuss challenges and opportunities, and share best practices in leveraging large language models to enhance medical diagnosis, treatment, and healthcare decision making. This Special Issue is expected to attract a wide range of readers, including researchers, clinicians, data scientists, and healthcare professionals, who are interested in the intersection of natural language processing and medicine. By bringing together cutting-edge research and practical applications, this Special Issue will contribute to disseminating knowledge and foster collaborations between the medical and natural language processing communities.

Potential topics include, but are not limited to, the following:

• Deep learning;
• Machine learning;
• Large language models;
• Medical data processing.

Dr. Ramin Ranjbarzadeh
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. Bioengineering 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 2700 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.

• deep learning
• machine learning
• large language models
• medical data processing
• biomedical data processing
• natural language processing
• clinical text analysis,
• electronic health records
• medical image analysis
• biomedical literature mining
• drug discovery
• patient monitoring
• personalized medicine
• healthcare decision-making
• data analytics
• artificial intelligence
• healthcare applications
• healthcare informatics