BioMap Announces Strategic Collaborations with 11 Partners

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Extending AI Bio-Computing into Drug R&D and Agricultural Breeding HONG KONG, Nov. 11, 2026 /PRNewswire/ -- The International Bio-Computing Innovation Summit 2026, hosted by…

HONG KONG, Nov. 11, 2026 /PRNewswire/ -- The International Bio-Computing Innovation Summit 2026, hosted by BioMap, a developer of AI foundation models for life sciences, with the support of the Hong Kong Investment Corporation Limited (HKIC), opened at the Hong Kong Convention and Exhibition Centre on November 6. Over the course of the summit, BioMap announced collaborations with a total of 11 partners. Spanning innovative drug R&D, TCM research, agricultural breeding, and international market expansion, these collaborations aim to advance AI research and applications in life sciences and accelerate the commercialization of research outcomes in Hong Kong.

Officiating guests included Mr. Paul Chan, Financial Secretary of the HKSAR Government; Ms. Clara Chan, Chief Executive Officer of HKIC; and Mr. Wei Liu, Co-Founder and CEO of BioMap.

BioMap InnoHub is launching collaborations with 11 partners, with seven projects announced at the morning launch ceremony.

In medical research, BioMap and the University of Hong Kong (HKU) are advancing the next phase of Breast Cancer Virtual Cell Large Model project, using AI to simulate the functioning of breast cancer cells and help researchers better understand the disease. BioMap is also working with Hong Kong Baptist University (HKBU) to establish an AI Traditional Chinese Medicine Joint Laboratory, combining AI analysis with experimental validation to investigate the mechanisms of action of TCM ingredients. In addition, its collaboration with PepLib on the Novel Peptide Drug Incubation initiative will leverage AI to accelerate the R&D of innovative peptide and cyclic peptide therapeutics.

In agricultural technology, BioMap and Soy-Sky FarmTech will advance their collaboration on an AI Breeding Platform, combining biological foundation models with crop genetic and trait data to support breeding decisions and jointly develop a Belt and Road AI Agricultural Innovation Ecosystem.

In R&D infrastructure and technology collaboration…

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