In this second and final installment of the ‘Highlights of 2023’ series, we give our readers a glance of another 3 most visited posts in this year.
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Bio-QSARs: the inclusion of physiological trait information in machine learning QSARs allows predictions across species
In this blogpost, Jochen Zubrod talks about developing an innovative machine learning approach for ecotoxicity predictions. These cutting-edge models show impressive predictive power for acute pesticide toxicity in freshwater organisms, holding promise for applications in environmental risk assessment and pesticide research and development.
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