Unveiling the Power of Machine Learning in DNA-Stabilized Silver Nanocluster Research
Researchers at the University of California, Irvine (UCI) have combined materials chemistry and machine learning to develop DNA-stabilized silver nanoclusters with near-infrared fluorescence. These tiny nanoclusters, wrapped in DNA, have the potential to be used as molecular probes for biomedical imaging and sensing applications. By using machine learning, the researchers were able to analyze experimental data and discover novel DNA sequences that can emit near-infrared light, which can penetrate living cells and biological tissue more effectively than visible light. This research opens doors to noninvasive and nonhazardous methods of disease detection and treatment.