Neo4j GraphDay Munich - Improve Health Research
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Martin Preusse works with data to improve health research. He has a PhD in Computational Biology and has experience as a postdoc and consultant. He co-founded Cell Map, which creates a map of all cellular components using Neo4j, and Knowing Health, a startup that improves data integration and accessibility. He has expertise in cleaning, structuring, storing, labeling, modeling, validating, collecting, integrating, and predicting data using techniques like deep learning.
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This document discusses the work of the National Center for Advancing Translational Sciences (NCATS) in bridging chemistry, biology and informatics to improve the process of translational research. It describes NCATS' mission to develop new methods and technologies to enhance drug development and implementation of interventions to improve human health. Specifically, it outlines initiatives at NCATS such as the Chemical Genomics Center, which performs high-throughput screens and develops chemical probes and leads. It also discusses how translational bioinformatics uses data integration to move between molecular to clinical scales to enable decision-making in areas like drug design and target validation.
2nd CRISPR Precision Genome Editing congress Berlin 2017 Agenda
2nd CRISPR Europe Congress is back with the key technology and industry developments uncovering more innovative applications. From basic research to therapeutic development, this end to end CRISPR Congress in Berlin will optimise your CRISPR workflow. Fully experience the value of this technology in base editing, primary cell editing, in vivo delivery, antiviral drugs & gene therapies.
FOLDING
This document summarizes two recent discoveries: 1) A new "megapixel" DNA replication technique that can detect single nucleotide variations and rare mutations with greater sensitivity and precision than previous methods. 2) The identification of two new bases in DNA, 5-formylcytosine and 5 carboxylcytosine, that are involved in DNA methylation and demethylation and could advance stem cell and cancer research. The document discusses how these discoveries may enable earlier disease diagnosis and more precise biomedical research and diagnostics.
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Overview
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Key Topics Covered
1. Introduction to Anomaly Detection
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2. Understanding Edge (IoT)
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Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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Neo4j GraphDay Munich - Improve Health Research
- 1. Martin Preusse I work with data to improve health research
- 2. Martin Preusse PhD Computational Biology Consulting Postdoc Knowing Health 2016 2018 2019 2017 2012
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- 10. clean structure store label model validatecollect integrate predictcommunicate transfer
- 11. clean structure store label model validatecollect integrate predictcommunicate transfer deeplearning
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