The pharmaceutical industry has played a leading role in the global response to the Covid-19 pandemic. In the urgent search for a vaccine, pharma companies have innovated and collaborated to dramatically accelerate processes that historically take an average 10-15 years. Within just 12 months of the WHO declaring COVID-19 a pandemic, we now have four vaccines approved for use and being rapidly rolled out across the UK.
Data analytics and AI are playing a major role in the disruption of a wide range of pharmaceutical processes, from drug discovery to trials, regulation and production. Data is also opening up transformational new business models such as personalised medicine, that could drive pharma companies to position themselves much closer to the patient or consumer.
In this panel session we explored:
Rasmus Hogreffe – Vice President of Decentralized Clinical Trial Innovation, Medable
Rasmus, MSc.Med., MBA is considered as a Decentralized Clinical Trial Expert. He is the VP of Decentralized Clinical Trial Innovation at Medable. Before joining Medable he was the head of Virtual Clinical Trials at LEO Innovation Lab.
His main goal is to improve treatment for patients by making trials better and faster than ever before, using digital and remote innovations.
Christopher Smith – Associate Director, Global Analytics and Insights, Gilead Sciences
Christopher is an experienced manager with a demonstrated history of working globally in the pharmaceuticals and biotech industry. Skilled in forecasting, market research, business development, competitive intelligence, and advanced data analytics.
Tom Mellor – Client Principal, Health, Social Care & Pharma, BJSS
Tom is part of BJSS’ health, social care and pharmaceuticals leadership team. He has over 10 years’ experience across engineering, technology and management consulting supporting clients to deliver a wide range of complex transformation projects.
Carl Austin – UK CTO, BJSS
Carl is UK CTO at BJSS. He has a natural passion for all things technology, a specialism in data and distributed systems and a small(ish) but unique shoe collection.
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