Artificial Intelligence and Data Mining for Toxicological Sciences

Dear Colleagues,

The needs of our society to cope with safety issues when exposed to a wide range of toxics are enormous. As more data are available on two fronts, namely, toxicity of more compounds and real-time/high frequency data, Artificial Intelligence (AI) can improve our understanding of how toxic compounds create harm and improve ways to provide solutions. Although more data are available today, the complex properties and the dispersion of toxics make it very difficult to deal and address them without suitable computer tools. AI and Data Mining (DM) represent not only a methodological approach, but also a way to define new strategies to address toxicology and safety. While experimental studies proceed in sequential steps, also following parsimony criteria, DM and AI tools are able to elucidate a better vision of the complex, toxicological problem in an unprecedented way.

We solicit manuscripts addressing the use of AI and DM dealing with toxicity and safety within the Topical Collection on this topic. Human toxicology, ecotoxicology and environmental aspects are within the target of this Topical Collection. Both manuscripts on the methodological aspects and on specific applications are welcome. We solicit manuscripts from research institutes, academia, but also industry, to describe the point of view and perspectives from different users. Public authorities are also welcome to contribute, since the novel approach is introducing advanced, alternative pathways, which contribute to the scientific topic but may require debate regarding their acceptance for regulatory purposes.

Dr. Emilio Benfenati
Dr. Noel Aquilina
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.