Artificial Intelligence and Vibrational Spectroscopy: From the Cutting-edge Research to Practical Applications

Vibrational spectroscopy, including infrared (IR), near-infrared (NIR), and Raman spectroscopy, is a promising method for bioanalytical instrumentation because it relies on the interaction of light with molecular structure to provide detailed information about the chemical composition and structure of samples. These methods are particularly attractive for bioanalytics because they are nondestructive, highly sensitive, and suitable for a wide variety of samples, including cells, tissues, and fluids. Advances in instrumentation technology, including portable spectrometers and improvements in imaging, have made it possible to use these techniques for real-time analysis and in situ measurements. Nevertheless, there are challenges related to data interpretation and quantification of biomolecules in complex matrices that could be overcome by the development of improved algorithms and artificial intelligence approaches to data interpretation. This symposium highlights recent developments and challenges in the application of vibrational spectroscopy to bioanalysis and discusses prospects for future applications and improvements.

The combination of advanced vibrational spectroscopy and artificial intelligence is a rapidly developing novel technology, which has found numerous applications including biomedicine, pharmaceutical industry, forensics, and security among others. The technology is highly relevant to the east coast scientific community including Boston University, which will be represented by Professor Ji-Xin Cheng. Three proposed speakers from academia (research Institute and Universities) are leaders in the cutting-edge research and make significant contribution to entrepreneurship through startup companies. They will lead a dialog towards the commercialization of fundamental discoveries and Ms. Shuxia Guo will add on the increasing role of Artificial Intelligence (AI).