Patient support is a hot topic in the life sciences space. Healthcare providers are consistently looking for ways to improve patient care and better support patients’ needs. In our previous post, we discussed how China was paving the way in leveraging digital health technologies to better support its huge patient population.

For life sciences companies operating in China, it’s important to fully understand the market before implementing or developing these innovative technologies. In this post, we’ll outline five key considerations that will help you support patients in China.

Choosing the right technologies to operationalize analytics and AI at scale

Understanding algorithmic biases in AI and conceptualizing a framework to evaluate

Considering the clinician’s interaction with AI technologies

Reviewing real-world examples of advanced analytics in a clinical setting

Our next guest was born on Sardinia, a beautiful Italian island where most people work in trade, agriculture, and tourism. He broke the mold and built a career in artificial intelligence, and he has since worked for prestigious organizations such as the University of Pisa, the University of Hong Kong, and MIT. Nowadays, he’s a Lead Data Scientist at Bayer US, unlocking the potential of natural language processing to revolutionize precision medicine and drug discovery and to transform healthcare as we know it.