deep learning (DL) are rapidly gaining popularity in the aging research community. These
deep aging clocks can be used in a broad range of applications in the pharmaceutical
industry, spanning target identification, drug discovery, data economics, and synthetic
patient data generation. We provide here a brief overview of recent advances in this
important subset, or perhaps superset, of aging clocks that have been developed using …