Summarized by Masters of Longevity from Longevity Technology.
Report on a benchmarking and calibration framework for deep learning genetic perturbation models that aims to improve in silico target discovery for age-related diseases.
Key Takeaways
- Longevity.Technology is growing fast; we are open to conversations with prospective partners and investors who share our vision.
- The framework establishes a benchmarking system that accounts for biological and technical signals in datasets and, the company claims, helps explain prior model underperformance caused by miscalibrated metrics.
- Shift intends to apply the framework to support large-scale in vitro and in silico screens to identify novel inhibition targets with potential application in rejuvenation and age-related disease treatment, initially focusing on fibrosis.
