Jin Rong Jie·2026-01-15 01:47Core Insights - The 44th J.P. Morgan Healthcare Conference has highlighted significant industry developments, including a $1 billion investment by NVIDIA and Eli Lilly to establish a joint research lab in the San Francisco Bay Area to accelerate AI applications in the pharmaceutical sector [1] - The conference serves as a critical platform for domestic pharmaceutical companies to showcase core molecular product capabilities and advance overseas business development collaborations, indicating a return to global value validation for products [2] - The participation of over 8,000 global attendees and more than 500 listed companies underscores the strengthening global competitiveness of Chinese companies in the pharmaceutical sector [2] Group 1: Innovative Drugs - BeiGene focuses on oncology drug development and global commercialization, presenting progress on core products like CDK4 at the conference [2] - Rongchang Biologics has entered an exclusive licensing agreement with AbbVie for the novel PD-1/VEGF bispecific antibody drug RC148, granting AbbVie rights outside Greater China for development, production, and commercialization [2] - Hengrui Medicine, involved in the R&D, production, and sales of innovative and generic drugs, reported that over 50% of its revenue now comes from innovative drugs, with multiple self-developed products receiving approvals [2] Group 2: CRO/CMO - WuXi AppTec provides integrated CXO services covering the entire drug development and manufacturing process, projecting a 32.56% year-on-year growth in net profit for 2025 [3] - WuXi Biologics, specializing in biopharmaceutical CRDMO services, announced 209 new projects, bringing the total to 945, with potential milestone payments exceeding $4 billion from new research contracts [3] - Tigermed offers clinical trial CRO services and participated in the Asia-Pacific session of the conference, providing outsourcing services related to clinical trials for global pharmaceutical companies [3] Group 3: AI in Healthcare - NVIDIA and Eli Lilly's collaboration aims to build AI models to enhance new drug development, with a planned investment of $1 billion over the next five years [4] - RunDa Medical focuses on comprehensive medical testing services and is developing an automated testing interpretation system based on large models [4] - Anbiping has launched a digital pathology AI system and is exploring the registration and commercialization of AI medical devices in cervical cytology [4]