Professor of AI For Life Science, Dongqing Wei from Shanghai Jiao Tong University, joined us as a senior advisor

Dongqing Wei is a Fellow of Royal Chemical Society and a distinguished professor with over 700 scientific papers and 20 000 citations(h10 index 407) in the interdisciplinary areas of AI+Life Science. He started to work with the AQ Biotech team several years ago and contributed to how modern AI can enrich complex analytical worlds in diagnostics and pharmaceuticals. One of his key ambitions is to understand longevity within human metabolism and how to impact that using anti-aging drugs and supplements with scientific proof.

How did your collaboration started

Our collaboration began somewhat unexpectedly. The initial introduction came through an international deeptech or biotech team, who were actively seeking truly radical and groundbreaking concepts in the life science space. They convinced me that the AQ Biotech team is exceptionally talented and that they have something radical in their laboratory but also recognising limitations to combine AI with multiomics and large metadata sources.

A Shared Vision for Integrated Health

What was inspiring to me was the immediate understanding and alignment of perspectives we shared and it became clear how similar our fundamental thoughts were regarding human health—not just as a collection of isolated systems, but recognizing the human body as a complex, integrated entity. This holistic view formed the bedrock of our partnership.

Ongoing projects and future outlook

As my role is to advise usage of AI which can integrate not only multiomics and metadata but also protein and peptide structures between phage biosensor and disease indicators. This work is independent of the disease in question but rather connected to the capabilities of the phage biosensors, and therefore we have a portfolio of impactful projects: prostate cancer, metastatic cancers, lung cancer, tuberculosis and neurodegenerative diseases, namely Parkinson’s disease.

Personally I am fascinated by the phage biosensor method and the information it can deliver combining high accuracy and cost-efficiency. It is exactly what early stage disease detection requires.   

Active cooperation to deliver better results quicker

While writing this, we are in the process of analyzing anonymous clinical data and our biosensor data with external parties both from Finland and China. We have exclusive access to thousands of samples as well as to a world class AI in Life Sciences team at the Jiao Tong University in Shanghai. This new way of working promotes the complementary strengths of two countries and helps us all to move on quicker with better quality. Something we should do more to benefit from mutual strengths.

All in all, I am excited to see what we all as one team can make happen in years to come!

Latest from us