Understanding exactly how the human genome works can help better explain how many diseases develop. In this video podcast, MIT computational biologist Manolis Kellis talks about how insights from artificial intelligence can be used to treat some diseases in the future, why large research structures are needed to do this, and why they should not specialize in just one disease.
Research on the human genome is being conducted worldwide - also with different focuses at different Helmholtz centers. No way around the use of artificial intelligence technologies in current genome research - that's for sure. In an interview with AI expert Lex Fridman, Manolis Kellis from MIT provides fascinating insights into the topic and explains, among other things, why comprehensive research of genetic causes of disease requires overarching research structures.
Kellis is known for his contributions to genomics, human genetics, epigenomics, gene regulation, and genome evolution. Among other projects, he led the NIH Roadmap Epigenomics Project to create a comprehensive map of the human epigenome, and many other projects to characterize genes, identify the noncoding elements and circuits of the human genome, and model organisms. A major focus of his work is understanding the impact of genetic variation on human diseases, including diabetes, Alzheimer's disease, schizophrenia, and cancer.
Lex Fridman is an AI researcher working on autonomous vehicles, human-robot interaction, and machine learning at MIT. In his podcasts, he talks to well-known personalities about current issues and developments in scientific research: His interview guests include scientists such as Roger Penrose, Noam Chomsky, Richard Dawkins, but also Jack Dorsey and Elon Musk.
00:00 – Introduction 08:05 – Molecular basis for human disease 32:04 – Deadliest diseases 37:47 – Genetic component of diseases 46:38 – Genetic understanding of disease 1:02:25 – Unified theory of human disease 1:08:26 – Genome circuitry 1:33:29 – CRISPR 1:45:06 – Mitochondria 1:53:10 – Future of biology research 2:22:46 – The genetic circuitry of disease
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Deciphering the gene regulatory codes in our cells could improve the treatment of numerous diseases such as cancer or rheumatism in the future. MUDS doctoral researcher Laura Martens wants to contribute to this with her data science expertise.
A precise understanding of the human genome can help to better understand the development of diseases. Manolis Kellis from MIT explains how insights from AI can be used to treat some diseases in the future. A video podcast.
HIDA and the Academy for Theater and Digitality Dortmund jointly announce a research fellowship for artists, technicians, and scientists who want to work at the intersection of digital art and cutting-edge digital research.