See How This Company Uses AI To Decode Genomic Diversity

Artificial intelligence has many applications and is, in most cases, indetectable. From processing data from scanned items in self-check-out kiosks to detecting soil composition for crop growth, AI's applications are increasingly widespread.

"How many other diseases are waiting to be eradicated if we could just figure out the purpose of the other 99% of the human genome? It will help change medicine and, most importantly, help save people's lives with every percentage of knowledge we gain from our own DNA," added Hintzsche.is an RNA Biomarker company that has raised $13M to date. It uses machine learning and AI to examine underlying disease biology.

"It could also mean differences in genome sequence between groups of people or individuals in a population and trying to decipher which of these genomic differences drives the variation we see, especially as it relates to healthspan, longevity, drug response, and other medical issues," added Rosengarten.The Genialis team is analyzing large genomic datasets to uncover patterns of disease prevalence and genetic predispositions within underserved populations.

Rosengarten says this leads to huge problems when developing a therapy for a cohort—for example, in rural India—but is trained on data from people from different backgrounds., which notes that medical researchers previously tried to avoid female subjects, when possible, because of biological heterogeneity relating, at least in part, to menstrual or estrous cycles.

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