Exploring the Paths to Promote High-Quality Development of New Tracks of Artificial Intelligence Pharmaceuticals in Metropolis
Drawing on the experience of exploring global AI pharmaceutical platforms,we can open up the data barriers of innovative drugs by creating a high-quality biological big data based on preclinical and clinical data,which will help domestic pharmaceutical enterprises to catch up with or even surpass the long-term data accumulation of multinational pharmaceutical enterprises in the short term,change the trend of follower innovation and safe but ineffective drugs,and find the path of future bio-economic development by combining"wet and dry",and guide them to carry out high-quality innovation research with the direction of data as the gripping hand and innovation curation as the orientation.
AI pharmaceuticalsComputational biologyBiopharmaceuticalsBig data platform
万方数据
维普
