Titre : Groupes témoins

Groupes témoins : Questions médicales fréquentes

Termes MeSH sélectionnés :

Cheminformatics
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un placebo ou à un traitement standard dans le groupe témoin." } }, { "@type": "Question", "name": "Comment les résultats sont-ils mesurés ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Les résultats sont mesurés par des critères prédéfinis, comme l'amélioration des symptômes." } }, { "@type": "Question", "name": "Les complications sont-elles observées dans les groupes témoins ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Les complications peuvent être observées, mais elles ne sont pas dues au traitement expérimental." } }, { "@type": "Question", "name": "Comment les complications sont-elles analysées ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Elles sont analysées en comparant leur fréquence entre le groupe témoin et le groupe traité." } }, { "@type": "Question", "name": "Les groupes témoins aident-ils à identifier des facteurs de risque ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils permettent de comparer les facteurs de risque entre les groupes traité et témoin." } }, { "@type": "Question", "name": "Comment les facteurs de risque sont-ils évalués ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Ils sont évalués par des questionnaires et des analyses statistiques dans les deux groupes." } } ] } ] }

Sources (101 au total)

Exploration of Type III effector Xanthomonas outer protein Q (XopQ) inhibitor from Picrasma quassioides as an antibacterial agent using chemoinformatics analysis.

The present study was focused on exploring the efficient inhibitors of closed state (form) of type III effector Xanthomonas outer protein Q (XopQ) (PDB: 4P5F) from the 44 phytochemicals of Picrasma qu...

The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset.

With the exponential progress in the field of cheminformatics, the conventional modeling approaches have so far been to employ supervised and unsupervised machine learning (ML) and deep learning model...

Can large language models understand molecules?

Large Language Models (LLMs) like Generative Pre-trained Transformer (GPT) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI are increasingly recognized for their potential in the fiel... We investigate the performance of GPT and LLaMA compared to pre-trained models on SMILES in embedding SMILES strings on downstream tasks, focusing on two key applications: molecular property predictio... We find that SMILES embeddings generated using LLaMA outperform those from GPT in both molecular property and DDI prediction tasks. Notably, LLaMA-based SMILES embeddings show results comparable to pr... The performance of LLMs in generating SMILES embeddings shows great potential for further investigation of these models for molecular embedding. We hope our study bridges the gap between LLMs and mole...