Biological aging is a huge problem that causes many diseases such as dementia, and Parkinson’s. Unfortunately, it is unavoidable. We are using CNNs, Phenotypic analysis and Autoencoders to analyze the mitochondria of senescent vs. proliferating cells in the hope of finding a consistent phenotype for senescent cells. We used Google Colaboratory for AI analysis and partnered with the Adam’s lab at Sanford Burnham Prebys Medical Discovery Institute for a dataset of images of the mitochondria of senescent and proliferating cells. Essentially, our project hopes to create new therapeutics for senescent cells based on this phenotype. This is innovative because of the specificity of the phenotypes found, and therefore the accuracy of the therapeutics.
What inspired you (or your team)?
We were inspired by the amazing work currently being done in longevity, and the room we have to grow. Right now, human longevity is becoming a very important field, as researchers are working to eradicate aging-related diseases and understand the mechanisms of aging. Our workforce and population are aging, and we need to find methods to elongate the Healthspan of people so they can contribute to our community longer. Alongside our own personal interest in human longevity, we have talked to 100 world-renowned experts, such as Aubrey de Grey and Karl Riabowol, to exchange ideas and build collaborations that continuously excite us for how important this is.