Introduction With the escalating menace of organic compounds in environmental pollution
imperiling the survival of aquatic organisms, the investigation of organic compound toxicity …

Abstract Machine learning has made significant progress in assessing the risk associated
with hazardous chemicals. However, most models were constructed by randomly selecting …

Fish is one of the model animals used to evaluate the adverse effects of a chemical exposed
to the ecosystem. However, its low throughput and relevantly high expense make it …

Toxicity prediction using quantitative structure–activity relationship has achieved significant
progress in recent years. However, most existing machine learning methods in toxicity …

Environmental hazard assessments are reliant on toxicity data that cover multiple organism
groups. Generating experimental toxicity data is, however, resource-intensive and time …

Humans are exposed to thousands of chemicals, including environmental chemicals.
Unfortunately, little is known about their potential toxicity, as determining the toxicity remains …

With environmental pollution becoming increasingly serious, organic compounds have
become the main hazard of environmental pollution and exert substantial negative impacts …

Abstract Machine learning (ML) has shown a great promise in predicting toxicity of small
molecules. However, the availability of data for such predictions is often limited. Because of …

The widespread use of chemical products inevitably brings many side effects as
environmental pollutants. Toxicological assessment of compounds to aquatic life plays an …

Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals.
Alarmingly, only a limited number of chemicals have undergone comprehensive …