Multi-agentic system for primer design in qPCR and LAMP diagnostics tests
This study develops an AI-orchestrated workflow using multiple agents to automate primer design for qPCR and LAMP assays by integrating bioinformatics tools and databases.
Author
Temasek Life Sciences Laboratory
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
4 papers
Recent·Most cited
This study develops an AI-orchestrated workflow using multiple agents to automate primer design for qPCR and LAMP assays by integrating bioinformatics tools and databases.
Kenny Jx Lau, Ali Ma, Bin Chen…·Naweed I. Naqvi
This study shows controlled drip irrigation suppresses methanogens and reduces methane emissions by 70-90% in rice paddies through improved aeration and soil redox potential.
Kenny Jx Lau, Cheng-Yen Chen, Sahanna Muruganantham…·Naweed I. Naqvi
StomaQuant uses deep learning to quantify stomatal density and size across diverse plant species, outperforming existing models with high accuracy.
Kenny Jx Lau, Ali Ma, Bin Chen…·Naweed I. Naqvi
This study shows that controlled drip irrigation reduces methane emissions in rice by altering rhizosphere microbiomes, favoring nitrifying bacteria over methanogens.