Tutorial: Translating real-world data into evidence

Subscribers:
351,000
Published on ● Video Link: https://www.youtube.com/watch?v=gotc9yzBjTM



Duration: 24:42
132 views
5


Speaker: Darren Edge, Director of Societal Resilience, Microsoft Research Cambridge

The concepts of real-world data (RWD) and real-world evidence (RWE) emerged in the medical domain to differentiate observational data collected for some other purpose, such as electronic health or healthcare claims records, from experimental data collected through, and for the specific purpose of, a randomized controlled trial, such as a drug trial. However, the same concepts also apply to the noisy, biased, and sensitive nature of data collected in other real-world contexts, especially crisis situations where time is short, data scientists are scarce, and vulnerable populations are at risk. In this session, we will introduce a collection of tools developed by the Microsoft Research Societal Resilience group that enable domain experts to translate real-world data into evidence, respecting both the privacy of data subjects and the contingency of data insights, and informing evidence-based policy in problem areas ranging from healthcare to human trafficking.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit




Other Videos By Microsoft Research


2022-02-08Research talk: AI in medical imaging: What’s next?
2022-02-08Research talk: AI for drug discovery
2022-02-08Research talk: Decrypting the secret of gene regulation with AI
2022-02-08Closing remarks: Empowering software developers and mathematicians with next-generation AI
2022-02-08Research talks: Software supply chain security
2022-02-08Lightning talks: Augmented Mathematical Intelligence
2022-02-08Research talk: Torchy: A tracing JIT compiler for PyTorch
2022-02-08Research talks: AI for software development
2022-02-08Opening remarks: Empowering software developers and mathematicians with next-generation AI
2022-02-08Closing Remarks: Health and Life Sciences - Delivery
2022-02-08Tutorial: Translating real-world data into evidence
2022-02-08Future of technology in combatting disease and disparities in treatment: A cardiovascular case study
2022-02-08Research talks: Showcasing health equity, access, and resilience collaborations
2022-02-08Opening remarks: Health & Life Sciences - Discovery
2022-02-08The role of tech in decreasing health inequities, improving access, and strengthening resilience
2022-02-08Opening remarks: Health and Life Sciences - Delivery
2022-02-08Closing remarks: Causal Machine Learning
2022-02-08Demo: Enabling end-to-end causal inference at scale
2022-02-08Research Talk: Enhancing the robustness of massive language models via invariant risk minimization
2022-02-08Research talk: Post-contextual-bandit inference
2022-02-08Research talk: Causal ML and fairness



Tags:
inequities in healthcare
access to healthcare
quality healthcare
health resilience
microsoft research summit