Multi-omics approach nowadays increasingly applied to molecular research in many fields of life sciences. Biogerontology is not an exception; multi-omics gives possibility to evaluate complex biomarkers (or panels) which consist of quantitative as well as phenotypic ones. It is especially important because of weak understanding of the nature of aging. The difficulty now is distinguishing between causes and effects of aging. The application of the whole set of metabolome, methylome, transcriptome, proteome or metagenome data in aging biomarker design becomes the only way to create a holistic view of aging landscape without missing undiscovered mechanisms and levels of organization. We found patents, up-to-date multi-omics datasets and studies, which include bioinformatics innovations to predict biological age in humans. We hope that the review will be also useful for clinicians, because it follows majorly translational purposes.