3 results
This discussion examines how medical AI might move from identifying abnormalities toward earlier prediction, prevention, diagnosis and treatment. Hutan Ashrafian and Ahmad Guni outline six functional domains of medical AI and a spectrum of independence, from advisory support to more autonomous navigation. The panel connects AI-driven molecular biology and multimodal clinical tools with the technical and health-system changes needed to translate capability into patient benefit. It also examines responsible, sustainable and equitable adoption, including appropriate human oversight, followed by discussion and audience questions.
Wed, Nov 4 · 14:00 UTC · Online
The panel explores the reuse of scientific data through the speakers’ practical experience. It considers how data quality affects reuse, what makes data suitable for artificial-intelligence applications, and the benefits of working with existing datasets. The discussion also addresses how researchers can acknowledge data creators and give appropriate credit for the resources they reuse.
Tue, Nov 17 · 15:00 UTC · Online
Nathan Alexander describes an introductory statistics curriculum that combines logic, theory and computation to develop critical quantitative analysis. Open-source tools support an interdisciplinary process in which students define concepts and propositions, then apply statistics to social questions. The approach aims to strengthen technical skills alongside critical reasoning. The talk also introduces the structure of the critstats package and its role in a community framework for building informational data systems that help users investigate particular histories, issues and challenges.
Tue, Dec 1 · 17:00 UTC · Online
When meta-research (research on research) makes an observation or points out a problem (such as a flaw in methodology), the project should be repeated later to determine whether the problem remains. For this we need meta-research that is reproducible and updatable, or living meta-research. In this talk, we introduce the concept of living meta-research, examine prequels to this idea, and point towards standards and technologies that could assist researchers in doing living meta-research. We introduce technologies like natural language processing, which can help with automation of meta-research, which in turn will make the research easier to reproduce/update. Further, we showcase our open-source litmining ecosystem, which includes pubget (for downloading full-text journal articles), labelbuddy (for manually extracting information), and pubextract (for automatically extracting information). With these tools, you can simplify the tedious data collection and information extraction steps in meta-research, and then focus on analyzing the text. We will then describe some living meta-research projects to illustrate the use of these tools. For example, we’ll show how we used GPT along with our tools to extract information about study participants. Essentially, this talk will introduce you to the concept of meta-research, some tools for doing meta-research, and some examples. Particularly, we want you to take away the fact that there are many interesting open questions in meta-research, and you can easily learn the tools to answer them. Check out our tools at https://litmining.github.io/
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This webinar will focus on spike sorting analysis with SpikeInterface, an open-source framework for the analysis of extracellular electrophysiology data. After a brief introduction of the project (~30 mins) highlighting the basics of the SpikeInterface software and advanced features (e.g., data compression, quality metrics, drift correction, cloud visualization), we will have an extensive hands-on tutorial (~90 mins) showing how to use SpikeInterface in a real-world scenario. After attending the webinar, you will: (1) have a global overview of the different steps involved in a processing pipeline; (2) know how to write a complete analysis pipeline with SpikeInterface.
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This set of short webinars will provide neuroscience researchers working in a neuroimaging setting with practical tips on strengthening credibility at different stages of the research project. Each webinar will be hosted by Cassandra Gould Van Praag from the Wellcome Centre for Integrative Neuroimaging.
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This set of short webinars will provide neuroscience researchers working in a neuroimaging setting with practical tips on strengthening credibility at different stages of the research project. Each webinar will be hosted by Cassandra Gould Van Praag from the Wellcome Centre for Integrative Neuroimaging.
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Recorded