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We are dedicated to pushing the boundaries of artificial intelligence and data science. We specialize in developing innovative algorithms, scalable models, and ethical AI solutions that address real-world challenges across diverse industries. Through collaboration, experimentation, and rigorous analysis, we strive to advance the state of machine learning while fostering a culture of curiosity, innovation, and societal impact.
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Kunkle, B.W., Grenier-Boley, B., Sims, R. et al. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Nat Genet 51, 414–430 (2019). https://doi.org/10.1038/s41588-019-0358-2
Yang, H., Wang, J., Didion, J. et al. Subspecific origin and haplotype diversity in the laboratory mouse. Nat Genet 43, 648–655 (2011). https://doi.org/10.1038/ng.847
