This Virtual Special Issue aims to capture the latest research advances in the applications of artificial intelligence and machine learning for environmental health studies. Submit your manuscript by June 30, 2024.
Artificial intelligence (AI) and machine learning (ML) are transformative fields of computer science. They empower researchers to develop algorithms and models capable of extracting meaningful insights, making predictions, and automating tasks by analyzing and learning from data. Due to the intricate nature of environmental health issues, the integration of AI and machine learning is imperative. These advanced computational technologies have the potential to revolutionize environmental health studies through fundamentally improve and advance environmental exposure assessment, environmental health risk assessment, and environmental policy development.
This Virtual Special Issue from Environment & Health extends an invitation to scientists to share their innovative work on leveraging AI and ML for environmental health studies.
We welcome contributions of Articles, Reviews, Perspectives or Viewpoints that delve into topics including, but not limited to:
- Source appointment
- Chemical toxicity prediction
- Identification or screening of unknown pollutants
- Human exposure assessment
- Molecular mechanisms between exposure and disease
- Data compliance and ethics
By sharing these findings or perspectives, we hope to spur further innovation and advancements in this critical and rapidly evolving field.
Organizing Editors
Miao Yu, Ph.D., Guest Editor
The Jackson Laboratory, USA
Mingliang Fang, Ph.D., Guest Editor
Fudan University, China
Zhenyu Tian, Ph.D., Guest Editor
Northeastern University, USA
Bin Wang, Ph.D., Guest Editor
Peking University, China
Douglas Walker, Ph.D., Guest Editor
Emory University, USA
Yuming Guo, Ph.D., Associate Editor, Environment & Health
Monash University, Australia
Submission Information
We welcome submissions for this Virtual Special Issue through June 30, 2024.
Authors who submit their manuscripts to this Virtual Special Issue may apply for an APC waiver if their paper is accepted after peer review. Appropriate consideration will be given for a waiver providing the paper has already met the scientific and editorial standards required for publication in Environment & Health.
For more information on submission requirements, please visit the journal’s Author Guidelines page.
Papers accepted for publication for this Virtual Special Issue will be available ASAP (as soon as publishable) online as soon as they are accepted and will be included in the next available issue of the journal. After all submissions have been published, they will then be compiled online in a dedicated landing page to form the Virtual Special Issue. Manuscripts submitted for consideration will undergo the full rigorous peer review process expected from ACS journals.
How to Submit
- Log in to the ACS Paragon Plus submission site.
- Choose Environment & Health.
- Select your manuscript type
- Under "Special Issue Selection," choose "Artificial Intelligence and Machine Learning for Environmental Health."
Please see our Author Guidelines for more information on submission requirements. The deadline for submissions is June 30, 2024.
