AI in Pharma
COVID-19 has once more highlighted how pandemics are a major threat to the resilience of our healthcare systems. With the aging population (it is estimated that elder citizens are 3 to 5 times more in need of healthcare services than adults), we expect an increased pressure over clinic and hospital resources, which will result in higher costs and worse outcomes for the patients. In this scenario, artificial intelligence plays a crucial role in making our healthcare systems scale in a more efficient and effective manner, moving care towards prevention, early diagnosis and tailored treatments. Machine Learning and Natural Language Processing, in particular, promise to be key technologies in moving expert efforts toward the patient interaction and in generating population- and individual-level insights to produce actionable knowledge. In this talk, I will discuss the drivers that guide this not-postponable revolution, surveying exciting applications and encouraging results.
Bio: Enrico Santus is Data Science Leader in Pharmacovigilance at Bayer. He obtained his PhD in Computational Linguistics at the Hong Kong Polytechnic University and worked as postdoc at the Singapore University of Technology and Design (SUTD) and at the Computer Science and Artificial Intelligence Lab (CSAIL) of MIT. His research includes over 50 papers on topics such as lexical semantics, sentiment analysis, fake news detection, and information extraction from EHRs (e.g. tumor histology, symptoms, etc.). Enrico has also supported the creation of The Prayer (artist: Diemut Strebe), a mouth-shaped robot exposed in 2020 at the Centre Pompidou of Paris, which speaks original prayers, generated with GPT-2. In 2019, Enrico was invited to speak about Natural Language Processing at the White House by the Record Management Office and he lead a POC for them. He is first author of a fact sheet about Artificial Intelligence for the American Congress: https://www.belfercenter.org/publication/technology-factsheet-artificial...
link zoom https://uniroma1.zoom.us/j/82319024393?pwd=MXhxVTRVdW82WmVHYnJNdWJnL2cyUT09