Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning.
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DOI: 10.1002/smll.202207106
Abstract: Organic chemistry has seen colossal progress due to machine learning (ML). However, the translation of artificial intelligence (AI) into materials science is challenging, where biological behavior prediction becomes even more complicated. Nanotoxicity is a critical… read more here.
Keywords: quantitative prediction; machine learning; prediction inorganic; prediction ... See more keywords