A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one anonymous reviewer – of the article: Servien R, Latrille E, Patureau D, Hélias A (2022) Machine learning models based on molecular descriptors to predict human and environmental toxicological factors in continental freshwater. bioRxiv, 2021.07.20.453034, ver. 6 peer-reviewed and recommended by Peer Community in Ecotoxicology and Environmental Chemistry. https://doi.org/10.1101/2021.07.20.45303
The free fraction of a xenobiotic in plasma (<i>F</i><sub>ub</sub>) is an important determinant of c...
Abstract: A series of 436 Munro database chemicals were studied with respect to their corresponding ...
We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity acro...
A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one ano...
A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one ano...
International audienceIt is a real challenge for life cycle assessment practitioners to identify all...
International audienceIt is a real challenge for life cycle assessment practitioners to identify all...
Environmental properties of compounds provide significant information in treating organic pollutants...
Environmental properties of compounds provide significant information in treating organic pollutants...
Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts a...
Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite ...
Environmental properties of compounds provide significant information in treating organic pollutants...
Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts a...
As machine learning/artificial intelligence algorithms are defeating chess masters and, most recentl...
Prior to the manufacture of new chemicals, regulations mandate a thorough review of the chemicals un...
The free fraction of a xenobiotic in plasma (<i>F</i><sub>ub</sub>) is an important determinant of c...
Abstract: A series of 436 Munro database chemicals were studied with respect to their corresponding ...
We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity acro...
A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one ano...
A recommendation – based on reviews by Patrice Couture, Dominique Lamonica, Sylvain Bart and one ano...
International audienceIt is a real challenge for life cycle assessment practitioners to identify all...
International audienceIt is a real challenge for life cycle assessment practitioners to identify all...
Environmental properties of compounds provide significant information in treating organic pollutants...
Environmental properties of compounds provide significant information in treating organic pollutants...
Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts a...
Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite ...
Environmental properties of compounds provide significant information in treating organic pollutants...
Machine Learning (ML) is increasingly applied to fill data gaps in assessments to quantify impacts a...
As machine learning/artificial intelligence algorithms are defeating chess masters and, most recentl...
Prior to the manufacture of new chemicals, regulations mandate a thorough review of the chemicals un...
The free fraction of a xenobiotic in plasma (<i>F</i><sub>ub</sub>) is an important determinant of c...
Abstract: A series of 436 Munro database chemicals were studied with respect to their corresponding ...
We applied machine learning methods to predict chemical hazards focusing on fish acute toxicity acro...