The Chinese biopharma industry is eager to use the latest artificial intelligence technology to boost efficiency and lighten workloads, as companies deal with drastic change and look to improve their understanding of foreign markets. Meanwhile, senior European leaders called for a level playing field during a recent visit to China.

The acceleration of efforts to increase diversity among clinical trial subjects is expected to continue in 2023. Furthermore, many executives hope for greater inclusivity within companies, from new recruits to leadership.

After securing US orphan designation for an artificial intelligence-assisted therapeutic, Insilico's co-CEO Feng Ren sits down for a wide-ranging interview in which he discusses why AI drug discovery is more predictable, efficient and cost-effective than the conventional bench-to-bed model. AI's limitations and validations, why the industry should get excited about algorithms, data sets and deep learning are other topics to consider in this fast-growing field. 

After securing US orphan designation for an artificial intelligence-assisted therapeutic, Insilico's co-CEO Feng Ren sits down for a wide-ranging interview in which he discusses why AI drug discovery is more predictable, efficient and cost-effective than the conventional bench-to-bed model. AI's limitations and validations, why the industry should get excited about algorithms, data sets and deep learning are other topics to consider in this fast-growing field.