Advancements in Artificial Intelligence (AI) for Cancer Genomics and Genetics

Advances in omics disciplines-particularly those directly involved in gene function and regulation, including genomics, epigenomics, exomics, transcriptomics, and proteomics, as well as fields addressing genomic responses to pharmacological interventions such as pharmacogenomics and metabolomics-have enabled an increasingly comprehensive characterization of gene activity in health and disease [...].

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Publication Details

Journal
Biomedicines
Published
2026-01-26
DOI
https://doi.org/10.3390/biomedicines14020274
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancements in Artificial Intelligence (AI) for Cancer Genomics and Genetics

Roberto Piergentili
Biomedicines
Machine Learning in Bioinformatics
article

Advancements in Artificial Intelligence (AI) for Cancer Genomics and Genetics

Roberto Piergentili
article en

Abstract

Advances in omics disciplines-particularly those directly involved in gene function and regulation, including genomics, epigenomics, exomics, transcriptomics, and proteomics, as well as fields addressing genomic responses to pharmacological interventions such as pharmacogenomics and metabolomics-have enabled an increasingly comprehensive characterization of gene activity in health and disease [...].

BiomedicinesVol. 14(2)
Institute of Molecular Biology and Pathology (IT)
Openalex Percentile: Top 78%
Machine Learning in Bioinformatics
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Advancements in Artificial Intelligence (AI) for Cancer Genomics and Genetics — Roberto Piergentili · Biomedicines (2026) | TGRS Research Map | TGRS