Artificial Intelligence and Network Biomedicine in Natural Product Research

10:50 – 11:40: Keynote Speech - Professor Thomas Efferth

Artificial Intelligence and Network Biomedicine in Natural Product Research

Synopsis

Systems biology and artificial intelligence (AI) represent powerful, novel tools in all disciplines of life sciences, including pharmacology and biomedicine (1). The holistic approach of both new technologies also attracts scholars from traditional medicine, since it is anticipated that they may have the potential to contribute to the explanation on the multi-factorial modes of action of complex herbal formulae (2,3).

In this presentation, we introduce the basic techniques used in systems biology and AI. We furthermore give selected examples from our own research during the past decade to illustrate the power of these new methods (4-6).

While more classical disciplines in biomedicine such as medicinal chemistry and molecular pharmacology will retain their relevance, systems biology and AI will revolutionize our disciple, eventually leading to a paradigm change in the future (7-8).   

Own references:

1. Manochkumar J et al., Comput Biol Med 2023;165:107425
2. Wang Y et al., Chin Med 2022;17(1):80.
3. Wang Y et al., Am J Chin Med 2021;49(6):1297-1314.
4. Kadioglu O et al., Arch Toxicol 2021;95(7):2485-95.
5. Kadioglu O et al., Comput Biol Med 2021;133:104359.
6. Elbadawi M et al., Lancet Respir Med. 2020;8:e55-e56.
7. Kadioglu O et al., Cells 2019;8(10):1286.
8. Efferth T and Paul NW, Lancet Planet Health. 2017;1:e301-e303.