Comprehensive Biological Risk Assessment of Genetically Modified Organisms: Evaluating Human Health and Environmental Impacts
Clicks: 1
ID: 312895
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #625 of 705 articles by views in Journal of Computing & Biomedical Informatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This study presents a comprehensive biological risk assessment of genetically modified organisms (GMOs), focusing on their potential impact on human health and the environment. Utilizing a multi-faceted approach, we analyze existing literature, conduct data-driven case studies, and perform experimental evaluations. The health assessment examines short- and long-term risks, including Allergenicity, toxicity, and nutritional alterations in GMOs. The environmental assessment addresses concerns such as gene flow, pest resistance, and non-target species effects. Preliminary findings emphasize the need for context-specific, robust risk assessment frameworks that consider both direct and indirect impacts within ecological systems. This study advocates for a science-based regulatory approach to GMOs, balancing their potential benefits with associated risks. Future research will focus on developing predictive models to support proactive risk management and inform policy-making.
| Reference Key |
imported_1777057668_69ebbf844407b
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Zuhaib Nishtar, Ilman Khan, Talat Iqbal, Ayisha Bibi, Wasfa Sana, Kalim Ullah |
| Journal | Journal of Computing & Biomedical Informatics |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.