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. Background While the number of synthetic chemicals is ever-growing and demands increase to also understand … Continue reading Bio-QSARs: the inclusion of physiological trait information in machine learning QSARs allows predictions across species