GCMS Integrated Machine Learning-Driven Computational Toxicology of A. Cotula L. Flowers

Puntos clave

• Chemical profiling indicates significant toxicity levels in some tested bioassays.
• Machine learning techniques analyze the effects of A. Cotula flowers on various biochemical pathways.
• The study utilizes gas chromatography-mass spectrometry (GC-MS) for detailed chemical analysis.
• Findings may imply caution in using A. Cotula flowers for medicinal or dietary purposes.