Partnerships span innovative drug development, traditional Chinese medicine research, agricultural technology, R&D infrastructure and international market expansion, supporting the commercialization of AI-driven life sciences research in Hong Kong.
HONG KONG, Nov. 11, 2026 – BioMap, a developer of AI foundation models for life sciences, announced 11 strategic collaborations during the International Bio-Computing Innovation Summit 2026, held at the Hong Kong Convention and Exhibition Centre on November 6. Hosted by BioMap with support from Hong Kong Investment Corporation Limited (HKIC), the summit brought together partners across innovative drug research and development, traditional Chinese medicine (TCM), agricultural breeding and international market expansion.
The collaborations aim to advance AI research and applications in life sciences while accelerating 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 announced collaborations with 11 partners, with seven projects unveiled during the morning launch ceremony.
Advancing AI Applications in Medical Research
BioMap and the University of Hong Kong (HKU) are advancing the next phase of their Breast Cancer Virtual Cell Large Model project. The initiative uses AI to simulate the functioning of breast cancer cells, supporting researchers in developing a deeper understanding of the disease.
BioMap is also collaborating with Hong Kong Baptist University (HKBU) to establish an AI Traditional Chinese Medicine Joint Laboratory. The laboratory will combine AI-based analysis with experimental validation to investigate the mechanisms of action of TCM ingredients.
Through its collaboration with PepLib under the Novel Peptide Drug Incubation initiative, BioMap will leverage AI to accelerate the development of innovative peptide and cyclic peptide therapeutics.
Supporting AI-Driven Agricultural Breeding
BioMap and Soy-Sky FarmTech will advance their collaboration on an AI Breeding Platform. The initiative will integrate biological foundation models with crop genetic and trait data to support breeding decisions.
The partners also aim to jointly develop a Belt and Road AI Agricultural Innovation Ecosystem, extending AI applications in agricultural technology and crop breeding.
Expanding International Markets and Research Infrastructure
BioMap will collaborate with DEFTA Partners through the DEFTA Overseas Market Expansion Program, exploring opportunities for research and industry cooperation in Japan and other international markets.
In R&D infrastructure and technology development, BioMap will work with Coyote Bioscience on an “AI + Biology” initiative. The collaboration will combine research translation across industry, academia and research institutions with an open cartridge ecosystem, supporting molecular point-of-care testing (POCT) initiatives in Hong Kong.
BioMap will also partner with HiDream.ai on a Cross-Scale Virtual Organism Model. The project will investigate biological phenomena across multiple scales and explore approaches to predicting and reconstructing biological dynamics.
Four Additional Strategic Collaborations Announced
The afternoon InnoHub Strategic Partnership Launch Ceremony introduced collaborations with four additional organizations.
BioMap will work with Temasek Life Sciences Laboratory to develop plans for jointly establishing an AI Bio-Computing Center in Singapore.
BioMap and Harbour BioMed have jointly established MegaStream TechBio to develop a fully automated closed-loop workflow integrating computational and laboratory experiments through an “AI × Bio” dual-native approach. MegaStream TechBio CEO Kyler LEI made his first public appearance at the ceremony, presenting the AIDD 3.0 vision and advancing the company’s FIC/BIC pipeline strategy.
BioMap will also collaborate with Revvity to develop an AI biomanufacturing laboratory that integrates computational and experimental workflows within a closed-loop system.
Together, the 11 collaborations reflect BioMap’s efforts to extend AI bio-computing across research, drug development, agricultural breeding and international life sciences partnerships.
SOURCE: BioMap
