This work is authored by Moeen Asim and Taha Sultan and Mubashir Ali and presents an independent contribution related to the topic of [GeneFix-AI: AI-Powered CRISPR-Cas9 System for Real-Time Detection and Correction of Mutations in Non-Human Species.
The evolution of genome engineering technologies has transformed biomedicalresearch, enabling precise and efficient modification of genetic material Doudna andCharpentier, 2014. Among these, CRISPR-Cas9 stands out as a revolutionary geneediting tool, though it often requires extensive expertise and technical knowledgeCong et al., 2013; J. G. Doench et al., 2016. We propose GeneFix-AI, an ArtificialIntelligence (AI)-driven platform for real-time prediction and correction of geneticmutations in non-human species. Developed using cutting-edge models inspired byrecent advances at Harvard and Peking University Chen et al., 2021; Wu et al., 2020,GeneFix-AI integrates machine learning to predict mutations, design optimal guideRNAs, and evaluate editing outcomes. This system aims to automate the CRISPRCas9 workflow, making high-precision gene editing more accessible to researcherswithout extensive molecular biology backgrounds Liu et al., 2019. We present thesystem architecture, training methodology, and potential impact of GeneFix-AI indemocratizing genome editing and accelerating discoveries in genetics
Institutions
- Quaid-i-Azam University (PK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-18
- DOI
- https://doi.org/10.5281/zenodo.17981284
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00