The “R&D Data Intelligence Leaders Forum” is the must attend event for those senior decision-makers, researchers and technologists, looking to make the shift towards an integrated R&D and data strategy and for those looking to improve their implementation of data-driven approaches to enhance R&D decision-making and intelligence.
Brian O’Connor will speak during day 2
, this unique day of discussion will bring together 20+ speakers from hand-picked, small, highly-innovative companies that have potential to disrupt how future medicines are discovered and developed
. New and emerging technology such as AI
, big data analytics
, blockchain, digital health approaches
have already found their place in R&D innovation
and are very likely to have an immensely positive impact on the future of life sciences.
Key areas covered in the first half of the day will include AI for drug discovery, AI applications in clinical research and imaging, the intersection of blockchain with genomics research, as well as synthetic biology.
The second part of this day will be focused on Digital Health as the convergence of connected health, m-health, quantified-self, genomics, diagnostics, social media, electronic medical records, and other exciting technologies and trends. Digital health is among the key phenomena driving transformation in the life science industry and in the quest for achieving patient and stakeholder value. This significant paradigm shift within healthcare and the rise of the connected patient is creating vast opportunities for life science innovators to achieve critical insights into patient needs.
About the event
Achieving excellence with R&D data will enable the life sciences industry to increase the speed and quality of innovation and is thus a major source of competitive advantage. Whether researchers and informaticians deal with “big data,” “deep data” or just put their data to smarter use, it is clear that the future of R&D is dependent on both smart technologies and clever researchers. The rapid progress of innovation in software and powerful hardware now allows human researchers to interpret masses of amounts of raw data in unique ways and is redefining the R&D business model. The benefits range from discovery and “omics” research, through to clinical trials and to real patients in the real-world. However, it is major technical, financial, and operational challenge to turn “messy” data into structured data, that can be used for advanced analytics that can spot opportunities and achieve true insights. Some of the most promising areas of technological innovation making rapid progress include, for example, artificial intelligence, machine learning, cloud computing and the blockchain (distributed ledgers). There is also huge potential for efficient collaborations between the life science industry, technology companies, academic researchers, health systems, physicians, and health insurers. A deeper convergence between key stakeholders and advanced technologies will facilitate the discovery and development of powerful therapies, devices and advanced diagnostics to benefit patients.
More information about the event and registration here