Precision medicine is the process of delivering customized therapy while taking into account several factors, including the patient's health history, surroundings, genetic variability and lifestyle choices.
This new paradigm aims to develop improved treatment strategies, including specific drugs for stratified or personalized prescriptions, namely , administering the most suitable ones to the right patient at the right time and dose.
In order to achieve this, accurate and prompt diagnosis, patient categorization based on phenotypes, and in-depth knowledge of the illness causation are all necessary.
The continuous progress in high-throughput sequencing technologies has made it possible to produce massive amounts of data related to genomics, epigenomics, transcriptomics, proteomics and metabolomics. Thus, it has become more crucial than ever to develop new analysis methods based on innovative multi-omics integrative techniques and cutting-edge machine learning (ML), deep learning (DL) and Artificial Intelligence (AI) approaches.
In the era of precision medicine, this Research Topic aims to gather original research, reviews, and mini-reviews that focus on groundbreaking multi-omics integrative techniques that can be used for improving the diagnostics, preventing and treating diseases and for drug discovery and/or repurposing.
We encourage the submission of original research articles and reviews on bioinformatics application in precision medicine such as, but not limited to, the following:
• Novel multi-omics integration tools applied to precision medicine.
• Databases presenting information related to inter-connections between diseases, genes, variants and drugs.
• Novel ML, DL, and AI-based approaches for better diagnostics, drug discovery and repurposing.
• Novel approaches to associate genotype to phenotype and understand disease mechanisms.
• The use of system biology approaches to understand the etiology of diseases.
• Novel tools for multi-omics data sharing and management.
• Implementation of Electronic Health Records for precision medicine.
Precision medicine is the process of delivering customized therapy while taking into account several factors, including the patient's health history, surroundings, genetic variability and lifestyle choices.
This new paradigm aims to develop improved treatment strategies, including specific drugs for stratified or personalized prescriptions, namely , administering the most suitable ones to the right patient at the right time and dose.
In order to achieve this, accurate and prompt diagnosis, patient categorization based on phenotypes, and in-depth knowledge of the illness causation are all necessary.
The continuous progress in high-throughput sequencing technologies has made it possible to produce massive amounts of data related to genomics, epigenomics, transcriptomics, proteomics and metabolomics. Thus, it has become more crucial than ever to develop new analysis methods based on innovative multi-omics integrative techniques and cutting-edge machine learning (ML), deep learning (DL) and Artificial Intelligence (AI) approaches.
In the era of precision medicine, this Research Topic aims to gather original research, reviews, and mini-reviews that focus on groundbreaking multi-omics integrative techniques that can be used for improving the diagnostics, preventing and treating diseases and for drug discovery and/or repurposing.
We encourage the submission of original research articles and reviews on bioinformatics application in precision medicine such as, but not limited to, the following:
• Novel multi-omics integration tools applied to precision medicine.
• Databases presenting information related to inter-connections between diseases, genes, variants and drugs.
• Novel ML, DL, and AI-based approaches for better diagnostics, drug discovery and repurposing.
• Novel approaches to associate genotype to phenotype and understand disease mechanisms.
• The use of system biology approaches to understand the etiology of diseases.
• Novel tools for multi-omics data sharing and management.
• Implementation of Electronic Health Records for precision medicine.
