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

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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
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article

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.

Zenodo (CERN European Organization for Nuclear Research)
CRISPR and Genetic Engineering
article

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.

article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
Quaid-i-Azam University (PK)
Openalex Percentile: Top 37%
CRISPR and Genetic Engineering
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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. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS