Bioinformatics and Machine Learning Applications in Precision Medicine: Exploring the Landscape
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy and Drug Delivery".
Deadline for manuscript submissions: closed (25 November 2024) | Viewed by 1999
Special Issue Editor
Interests: medical imaging; computational hemodynamics; simulation modeling experience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the field of precision medicine, the synergy of bioinformatics and machine learning (ML) has emerged as a powerful force, revolutionizing healthcare by harnessing advanced algorithms to analyze extensive datasets, encompassing genomic information, clinical records, and patient data, and comprehensively addressing individual healthcare needs. This research explores the amalgamation of bioinformatics and ML techniques, aiming to pave the way for personalized healthcare decision-making and improved medical outcomes.
Machine learning (ML) plays a pivotal role in predicting disease risks, personalizing treatment recommendations, aiding drug discovery, decoding genetic data, and optimizing healthcare operations. By customizing healthcare decisions based on unique genetic and clinical attributes, ML empowers precision medicine, leading to enhanced healthcare outcomes and efficiency. We invite authors to contribute their expertise and research in this transformative field, encouraging collaborative efforts to further advance our understanding and applications in precision medicine.
The integration of bioinformatics and machine learning holds the potential to revolutionize precision medicine. By analyzing data from previous patients, machine learning models can identify future patients who may benefit from specific treatments. Furthermore, machine learning algorithms can scrutinize electronic health records to pinpoint risk factors for diseases, enabling personalized treatment plans tailored to an individual's genetic makeup, lifestyle, and environment. Bioinformatics applications extend to drug discovery, personalized medicine, preventative medicine, and gene therapy, guiding the exploration of the precision medicine landscape. This proposal aims to create a Special Issue that delves deeper into this vital and transformative intersection of bioinformatics and machine learning in precision medicine. We therefore invite authors to collaborate and contribute their expertise in bioinformatics and ML for precision medicine research. We anticipate that this initiative will lead to significant advancements in healthcare outcomes, offering a tailored approach to medical care and improving patient well-being.
Prof. Dr. Kelvin K. L. Wong
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- bioinformatics
- precision medicine
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