The recent discoveries around aging biomarkers and aging clocks have significantly benefited the longevity sector, helping accelerate development of diagnostics, treatments and more. Aging clocks are a valuable tool for researchers, as biomarkers can help determine an individual’s biological age based on the status of cells, tissues and other body systems. As the sector moves toward a more nuanced understanding of the science around aging clocks, stakeholders will be able to unlock a more comprehensive and holistic assessment of someone’s health. Aging clocks also facilitate means for researchers to measure the efficacy of anti-aging treatments.
To quote our Scientific Advisory Board member Alex Zhavoronkov, “Predictors of chronological and biological age developed using 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” (DOI: 10.1016/j.tips.2019.05.004).
The funding call is now open and accessible here. The deadline for proposals is December 31st at 00.00. In line with the LSF’s non-discriminatory research selection practises, we welcome all researchers and institutions to apply regardless of their geographic, academic or financial particulars. Proposals must concern aging clocks. The Foundation will assess applications received before this call for relevance to the chosen topic.