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the lack of trust that already exists with many play- ers in the healthcare ecosystem and with some of the newer technology businesses. However, the large multinational companies,


with their awareness of world-wide challenges, along with their understanding of the opportuni- ties that collaboration across industries and geographies create, will become increasingly effec- tive in helping to calm these concerns. As such, the Pistoia Alliance, along with many other organisa- tions, should reconfigure to ensure that they reflect and promote these developments and, by so doing, increase the chances of success.


DDW


Dr Steve Arlington has worked in the pharmaceu- tical and diagnostics industry for more than 40 years. He began as a research scientist in the field of immunology and developed and launched many products in this arena – he was part of the team that developed and launched Clearblue pregnancy tests. Steve is a retired partner from PwC and led the Pharmaceutical Team in Advisory Services and also previously led the IBM Life Sciences and Pharmaceutical Global Teams. In his career, Steve has grown two global consultancies into billion dollar businesses and launched a biotech company; he has also served on the advisory boards of major pharma and diagnostic companies, start-ups, ven- ture capitalists and health providers. Steve became president of The Pistoia Alliance in 2015.


John Wise specialises in precompetitive collabora- tion in the life science R&D information ecosys- tem. He is a consultant to the Pistoia Alliance, a not-for-profit organisation committed to lowering the barriers to innovation in life science R&D, and also serves as the programme co-ordinator for the PRISME Forum, a not-for-profit biopharma R&D IT/Informatics leadership group focused on the sharing of best practices. John has worked in life science R&D informatics in a variety of organisa- tions including academia, the pharmaceutical industry and a cancer research charity, as well as in the technology supply side of the industry. John graduated in physiology before obtaining a post- graduate certificate in education.


Drug Discovery World Winter 2019/20


References 1Wise, J et al. The positive impacts of real world data on the challenges facing the evolution of biopharma. Drug Discovery Today, Volume 23, Issue 4, April 2018, Pages 788-801 http://www.drugdiscoverytoday.com/ download/1569. 2Wise, J et al. Implementation and relevance of FAIR data principles in biopharmaceutical R&D. Drug Discovery Today, Volume 24, Issue 4, April 2019, Pages 933-938 https://doi.org/10.1016/j.drudis.2019.01.008. 3Viceconti, M et al. In silico clinical trials: how computer simulation will transform the biomedical industry. Int J Clin Trials. 2016 May;3(2):37-46 http://dx.doi.org/10.18203/2349-3259.ijct20161408. 4 Al-Huniti, et al. Dynamic predictions of patient survival using longitudinal tumor size in non-small cell lung cancer: Approach towards personalized medicine. Journal of Clinical Oncology 2017 https://doi.org/10.1200/JCO.2017.35.15_suppl.e20606. 5 MIT’s NEW Drug Development ParadIGmS (NEWDIGS). Learning Ecosystems Accelerator for Patient-Centered, Sustainable Innovation https://newdigs.mit.edu/programs-projects/leaps. 6 Sicklick, JK, Kato, S, Okamura, R et al. Molecular profiling of cancer patients enables personalized combination therapy: the I-PREDICT study. Nat Med 25, 744–750 (2019) doi:10.1038/s41591-019-0407-5. 7 UK Biobank. https://www.ukbiobank.ac.uk/. 8 Genomics England. https://www.genomicsengland. co.uk/. 9The All of Us Research Program. https://allofus.nih.gov/. 10 Nebula Genomics https://nebula.org/. 11 Shivom https://www.shivom.io/. 12 National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Board on Health Care Services; Committee on Ensuring Patient Access to Affordable Drug Therapies; Nass, SJ, Madhavan, G, Augustine, NR, editors. Making Medicines Affordable: A National Imperative. Washington (DC): National Academies Press (US); 2017 Nov 30. 1, The Affordability Conundrum. Available from: https://www.ncbi.nlm.nih.gov/books/NBK493099/. 13 China Global Television Network https://news.cgtn.com/news/3d3d674d79497a4e78457a6 333566d54/share_p.html. 14 National Institutes of Health – Stem Cell Information https://stemcells.nih.gov/info/basics/1.htm. 15 Langhans, S. Three-Dimensional in Vitro Cell Culture Models in Drug Discovery and Drug Repositioning. Front. Pharmacol., 23 January 2018. https://doi.org/10.3389/fphar.2018.00006. 16What is immunotherapy’s relationship to the immune system? Cancer Research Institute https://www.cancerresearch.org/immunotherapy/what-is- immunotherapy. 17 Chen, M, Zhao, H. Next-generation sequencing in liquid biopsy: cancer screening and early detection. Hum Genomics 13, 34 (2019) doi:10.1186/s40246-019-0220-8. 18 American Society of Clinical Oncology – Center for Research & Analytics (CENTRA) https://www.asco.org/ research-progress/center-research-analytics-centra.


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