Bioinformatics and Artificial Intelligence for Precision Medicine
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: closed (1 October 2024) | Viewed by 216
Special Issue Editor
Interests: artificial intelligence and deep learning; graph neural network; multi-omics data analysis; network inference; disease-immune cell–cell signaling interactions; drug repurposing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Along with the advance of next-generation sequencing (NGS) technology, large-scale, tissue-level, and single-cell omic datasets have been being generated to characterize the dysfunctional molecular mechanisms within cells and the microenvironments of complex diseases, like cancer, neuroscience, aging, Alzheimer’s disease (AD), and inflammation However, it remains challenging to integrate and interpret the omic data for precision medicine. Precision medicine involves identifying computational models that take the omic data as the input and outputs a list of key targets, signaling pathways, and potentially effective medications. Thus, bioinformatics and artificial intelligence (AI) are critical and must be improved to mine the knowledge from large-scale omic datasets. Therefore, novel bioinformatics and AI models are urgently needed for integrating and interpreting the omic datasets to facilitate the development of precision medicine. Herein, we invite studies making use of bioinformatics and AI models to analyze the biomedical data to identify the key disease signaling targets, signaling pathways, and predict/reposition effective drugs or synergistic drug combinations.
Dr. Fuhai Li
Guest Editor
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Keywords
- bioinformatics
- genomics
- single cell
- machine learning
- artificial intelligence
- deep learning
- precision medicine
- systems biology
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