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Sheantel Reihl

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Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning

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By Mulki Mehari, Gayathri Warrier, Abraham Dada, Aymen Kabir, Aden P. Haskell-Mendoza, Arushi Tripathy, Rohan jha, Edwin Nieblas-Bedolla, Joshua Jackson, Ariel Gonzalez Verified, Tara Dalton, Mikias Negussie, César Gonzales, Vardhaan S. Ambati, Annick Desjardins, Saritha Krishna, Susan Arterian Chang, Alyx B. Porter, Peter E. Fecci, Todd C Hollon, Ugonma N. Chukwueke, Kimberly Badal, Annette M. Molinaro, Shawn Hervey-Jumper, Ellery H. Reason, Ann Marie Flusche, Sheantel Reihl
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9 hours ago Despite what tech CEOs might say, large language models are not smart in any recognizably human sense of the word. On June 13, 1863, a curious letter to the editor appeared in The Press, a then-fledgling New Zealand newspaper. Signed “Cellarius,” it warned of an encroaching “mechanical kingdom” that …
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