Search Results - "Marchese Robinson, R. L."

Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal use by Mellor, C.L., Marchese Robinson, R.L., Benigni, R., Ebbrell, D., Enoch, S.J., Firman, J.W., Madden, J.C., Pawar, G., Yang, C., Cronin, M.T.D.

“…Computational approaches are increasingly used to predict toxicity due, in part, to pressures to find alternatives to animal testing. Read-across is the “new…”
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Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish by Gousiadou, C., Marchese Robinson, R. L., Kotzabasaki, M., Doganis, P., Wilkins, T. A., Jia, X., Sarimveis, H., Harper, S. L.

“…The possibility of employing computational approaches like nano-QSAR or nano-read-across to predict nanomaterial hazard is attractive from both a financial,…”
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