1
Return

Artificial Intelligence for CRISPR-Based Biosensing: From Molecular Design to Assay Intelligence

delete2026-08-07
delete0
delete
OA
AI
R
Rongfeng Wang
Q
Qingtian Zhang
S
Sukrit Gaira
Y
Yuanyi Zhao
J
Junyan Lai
M
Ming Li
C
Chengchen Zhang
L
Liao Wu
F
Fei Deng *
S
Shi‐Yang Tang *
DOI：10.1016/j.trac.2026.119061delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Reviews AI-enabled gRNA design for precision CRISPR diagnostics • Summarizes AI-driven Cas engineering and structure prediction • Highlights intelligent CRISPR biosensor readout and automation • Links sequence, structure, and signal to analytical performance • Discusses translation toward standardized point-of-care platforms
Keywords:
CRISPR
Guide RNA
Cas Protein
Biosensor
Deep Learning
Machine Learning

Journal

TRAC-Trends in Analytical Chemistry cover
TRAC-Trends in Analytical Chemistry
IF:
12
Papers:
7.2K
Citations:
3.9W

Organization

U
university of southampton
Scholars:
3.3W
Papers: 3.2W
Citations: 52
U
university of new south wales
Scholars:
2.3K
Papers: 1.2K
Citations: 0
Cited Papers

Cited Papers

Citing Papers

Citing Papers