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The upside of being a digital pharma player.
Schuhmacher, Alexander; Gatto, Alexander; Hinder, Markus; Kuss, Michael; Gassmann, Oliver.
Afiliação
  • Schuhmacher A; Reutlingen University, Alteburgstrasse 150, DE-72762 Reutlingen, Germany. Electronic address: alexander.schuhmacher@reutlingen-university.de.
  • Gatto A; Sony Europe B.V., Stuttgart Technology Center, Hedelfinger Strasse 61, DE-70327 Stuttgart, Germany.
  • Hinder M; Novartis Institute of BioMedical Research, Postfach, Forum 1, CH-4002 Basel, Switzerland.
  • Kuss M; PricewaterhouseCoopers AG, Birchstrasse 160, CH-8050 Zurich, Switzerland.
  • Gassmann O; University of St. Gallen, Institute of Technology Management, Dufourstrasse 40a, CH-9000 St. Gallen, Switzerland.
Drug Discov Today ; 25(9): 1569-1574, 2020 09.
Article em En | MEDLINE | ID: mdl-32554063
ABSTRACT
We investigated the state of artificial intelligence (AI) in pharmaceutical research and development (R&D) and outline here a risk and reward perspective regarding digital R&D. Given the novelty of the research area, a combined qualitative and quantitative research method was chosen, including the analysis of annual company reports, investor relations information, patent applications, and scientific publications of 21 pharmaceutical companies for the years 2014 to 2019. As a result, we can confirm that the industry is in an 'early mature' phase of using AI in R&D. Furthermore, we can demonstrate that, despite the efforts that need to be managed, recent developments in the industry indicate that it is worthwhile to invest to become a 'digital pharma player'.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Indústria Farmacêutica / Pesquisa Farmacêutica Tipo de estudo: Qualitative_research Idioma: En Revista: Drug Discov Today Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Indústria Farmacêutica / Pesquisa Farmacêutica Tipo de estudo: Qualitative_research Idioma: En Revista: Drug Discov Today Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2020 Tipo de documento: Article