Paper Details
- Home
- Paper Details
Original Abstract of the Article :
Linear and non-linear modelling of human acute toxicity (as human lethal concentrations; HLCs) of the 38 organic chemicals from the 50 priority compounds of the Multicentre Evaluation of In Vitro Cytotoxicity (MEIC) programme was investigated. The models obtained were derived either from a set of 23...See full text at original site
Dr.Camel's Paper Summary Blogラクダ博士について
ラクダ博士は、Health Journal が論文の内容を分かりやすく解説するために作成した架空のキャラクターです。
難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。
* ラクダ博士による解説は、あくまで論文の要点をまとめたものであり、原論文の完全な代替となるものではありません。詳細な内容については、必ず原論文をご参照ください。
* ラクダ博士は架空のキャラクターであり、実際の医学研究者や医療従事者とは一切関係がありません。
* 解説の内容は Health Journal が独自に解釈・作成したものであり、原論文の著者または出版社の見解を反映するものではありません。
引用元:
https://doi.org/10.1016/0278-6915(94)90091-4
データ提供:米国国立医学図書館(NLM)
Predicting Human Toxicity Using Non-Vertebrate Data
This research explores the [predictive potential] of [physicochemical properties] and [non-vertebrate acute toxicity] data for [estimating human acute toxicity] of [organic chemicals]. The authors used [PLS regression] and [neural network modeling] to [develop models] that [predict] [human lethal concentrations (HLCs)] from [a combination] of [physicochemical descriptors] and [non-vertebrate toxicity data]. Their findings suggest that [both models] are [capable] of [predicting human toxicity], with [PLS regression] showing [slightly better performance] than [neural networks].
A New Frontier in Toxicity Prediction
The findings of this study open up [exciting possibilities] for [predicting human toxicity] without [extensive human testing]. By utilizing [non-vertebrate data] and [physicochemical properties], we can [potentially identify] [hazardous chemicals] and [minimize] the [risk] of [human exposure]. This research underscores the [value of using alternative methods] for [assessing toxicity] and [improving the safety of chemicals] for [humans and the environment].
The Importance of Ecotoxicological Data
This study emphasizes the [critical role] of [ecotoxicological data] in [understanding human health risks]. The [strong correlation] between [non-vertebrate toxicity] and [human toxicity] highlights the [importance] of [assessing the impacts] of [chemicals] on [the entire ecosystem]. This research encourages us to [consider the interconnectedness] of [human health] and [environmental health] when [evaluating the safety] of [chemicals].
Dr. Camel's Conclusion
This research is like a [camel] using its [keen senses] and [knowledge of the desert] to [navigate the vast landscape] of [toxicity prediction]. The findings suggest that [non-vertebrate data] can be a [valuable tool] for [estimating human toxicity], helping us to [make informed decisions] about [chemical safety]. Just like a [camel] relying on its [instincts] to [avoid danger], we must [use all available information] to [protect human health] and [preserve the environment].
Date :
- Date Completed 1994-12-20
- Date Revised 2019-12-10
Further Info :
Related Literature
English
This site uses cookies. Visit our privacy policy page or click the link in any footer for more information and to change your preferences.