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UID:calendar.24890.field_data.0@www.u-gov-ricerca.uniroma1.it
DTSTAMP:20260407T200602Z
CREATED:20220510T091754Z
DESCRIPTION:COVID-19 has once more highlighted how pandemics are a major th
 reat to the resilience of our healthcare systems. With the aging populatio
 n (it is estimated that elder citizens are 3 to 5 times more in need of he
 althcare services than adults)\, we expect an increased pressure over clin
 ic and hospital resources\, which will result in higher costs and worse ou
 tcomes 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 an
 d tailored treatments. Machine Learning and Natural Language Processing\, 
 in particular\, promise to be key technologies in moving expert efforts to
 ward the patient interaction and in generating population- and individual-
 level insights to produce actionable knowledge. In this talk\, I will disc
 uss the drivers that guide this not-postponable revolution\, surveying exc
 iting applications and encouraging results. Bio: Enrico Santus is Data Sci
 ence Leader in Pharmacovigilance at Bayer. He obtained his PhD in Computat
 ional Linguistics at the Hong Kong Polytechnic University and worked as po
 stdoc at the Singapore University of Technology and Design (SUTD) and at t
 he Computer Science and Artificial Intelligence Lab (CSAIL) of MIT. His re
 search includes over 50 papers on topics such as lexical semantics\, senti
 ment analysis\, fake news detection\, and information extraction from EHRs
  (e.g. tumor histology\, symptoms\, etc.). Enrico has also supported the c
 reation of The Prayer (artist: Diemut Strebe)\, a mouth-shaped robot expos
 ed in 2020 at the Centre Pompidou of Paris\, which speaks original prayers
 \, generated with GPT-2. In 2019\, Enrico was invited to speak about Natur
 al 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 Artif
 icial Intelligence for the American Congress: https://www.belfercenter.org
 /publication/technology-factsheet-artificial-intelligence link zoom  https
 ://uniroma1.zoom.us/j/82319024393?pwd=MXhxVTRVdW82WmVHYnJNdWJnL2cyUT09
DTSTART;TZID=Europe/Paris:20220513T130000
DTEND;TZID=Europe/Paris:20220513T130000
LAST-MODIFIED:20220510T170646Z
LOCATION:remote
SUMMARY:AI in Pharma - Enrico Santus
URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24890
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