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Bio digital twins and the future of health innovation

CIO Business Intelligence

Healthcare technology innovation is poised to revolutionize the medical landscape. At the forefront of this transformation lies biological digital twin (bio digital twin) technology. Essentially, the technology involves the replication of the human body in software models.

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Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

IBM Big Data Hub

We joined forces with a Bio-informatics research group from the University of Antwerp and started taking the first steps in developing a solution. The impact of the Innocens technology is being investigated in clinical trials and is not yet commercially available.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. Machine learning.

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Joshua Walker: Using Data to Improve the Legal System

DataRobot

He‘s the co-founder and executive director of CodeX , the Stanford Center for Legal Informatics, and the author of On Legal A I , a pioneering effort to map the territory between AI and the law. One reason people like the terms machine learning or neural networks is that they’re more specific.

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

The core part of this solution is the backend technology, but without some mechanism to interact with that backend, users won’t realize the full potential of the solution. Chakra Nagarajan is a Principal Machine Learning Prototyping SA with 21 years of experience in machine learning, big data, and high-performance computing.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. He’s passionate about building with serverless technologies, machine learning, and accelerating his AWS customers’ business success. Their costs were climbing.

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Achieve competitive advantage in precision medicine with IBM and Amazon Omics

IBM Big Data Hub

High-throughput sequencing technology, notably next generation sequencing (NGS) platforms, has led to a multiomics revolution. Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. clinical) using a range of machine learning models.