Data, Analytics & AI for Precision Medicine

Data, Analytics & AI for Precision Medicine is aimed at those looking to enhance lab processes and leverage data to enhance efficiencies and improve .. Read more outcomes, from pharma/biotech companies; clinical labs; lab service suppliers/CROs; diagnostic developers; medical device manufacturers; and technology/software providers, tackling this bold new data challenge and advancing the field of precision medicine. For precision medicine to reach its true potential, diagnostics, pharmaceutical and clinical organizations must develop a comprehensive strategy for patient data in order to derive actionable insights. To meet the challenge of collecting, integrating and interpreting vast amounts of disparate and unstructured data, the implementation of effective and scalable lab automation and data management tools; as well as complex analytics and predictive models, such as AI, machine learning and deep learning, is paramount. With these technologies promising to enable interoperability and integration of siloed data from varied sources, are we a step closer to cutting-edge insights and predictions to enable individualized care? This track is aimed at those looking to enhance lab processes and leverage data to enhance efficiencies and improve outcomes, from pharma/biotech companies; clinical labs; lab service suppliers/CROs; diagnostic developers; medical device manufacturers; and technology/software providers, tackling this bold new data challenge and advancing the field of precision medicine. All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program.