CRISPR in clinical diagnostics: bridging the gap between research and practice.

Area of Science:

• Molecular Biology
• Biotechnology
• Medical Diagnostics

Background:

• CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology initially revolutionized genetic modification.
• Its applications have expanded significantly into diagnostics and biosensing.

Purpose of the Study:

• To review the transition of CRISPR from genome editing to innovative detection methods.
• To highlight advanced CRISPR-based diagnostic technologies and their potential impact on global healthcare.

Main Methods:

• Exploration of CRISPR applications in nucleic acid identification, SNP analysis, and protein sensing.
• Review of advanced technologies like SHERLOCK and DETECTR for point-of-care diagnostics.
• Analysis of enzymatic systems (Cas12a, Cas13a), CRISPR-Chip technology, and chemical modifications for enhanced detection.

Main Results:

• CRISPR enables rapid and highly sensitive detection methods.
• Advanced CRISPR systems demonstrate significant potential for point-of-care diagnostics.
• Integration with AI and digital health platforms enhances scalability and accessibility.

Conclusions:

• CRISPR technology is transforming diagnostics, offering decentralized, real-time solutions.
• These advancements have profound implications for global healthcare and precision medicine.
• The fusion of CRISPR with AI promises more accessible and cost-effective diagnostic approaches.