#ImagingData

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GLP-1RA Research Revolution How Real World Imaging Data is Paving The Way For Future Therapies GLP-1RAs are transforming medicine beyond diabetes, with emerging potential in neurology, cardiology, and oncology. Our latest blog explores how Real-World Imaging Data (RWiD) is unlocking new insights and accelerating research into these groundbreaking therapies. Read more to discover the future of GLP-1RA research! https://www.segmed.ai/resources/blog/glp1ra-research-revolution-real-world-imaging-data

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Spacenet digitalglobe

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The project and its name are a play off of ImageNet, a similar database of images created to help catalyze early advancements in computer vision. Researchers will be able to create high-impact geospatial applications by applying our DIGITS deep learning tool to the SpaceNet data corpus. Jon Barker, Solutions Architect at NVIDIA. Innovation of AI algorithms is fueled by large, high-quality, labeled datasets like SpaceNet and flexible, open-source machine learning tools, said Dr. Both the public and private sector have a lot to gain from better post-capture analysis tools to help automate processes previously relegated to crowdsourcing or painstaking individual search. CosmiQ Works is affiliated with In-Q-Tel, the venture capital arm of the CIA, and helps the intelligence community onboard tools from startups focused on space. In this paper we discuss the SpaceNet imagery. The first two of these competitions focused on automated building footprint extraction, and the most recent challenge focused on road network extraction.

#SPACENET DIGITALGLOBE SERIES#

NVIDIA is going to provide researchers and developers with tools to take advantage of the new images. The SpaceNet partners also launched a series of public prize competitions to encourage improvement of remote sensing machine learning algorithms. In addition to DigitalGlobe, NVIDIA and CosmiQ Works are also supporting the rollout of SpaceNet. The curated set will eventually include more than 60 million labeledhigh-resolution images. The partners of the company include cosmic works, Digital Globe, Radiant Solutions. The consortium of companies that contributed to SpaceNet want to make sure that the imaging data exists to take advantage of advancements in computer vision and machine learning.As of now, DigitalGlobe is offering 200,000 building footprints across the city of Rio de Janeiro, at no cost. SpaceNet operates and owns a repository of satellite images. As a result, for the first time, its becoming possible to work through massive, complex data sets in hours and minutes instead of years and months. The satellite imagery in the SpaceNet database will be able to serve as training data for new generations of intelligent analytics tools for deconstructing large quantities of imagery and quickly generating insights.Īs our processing capabilities grow in availability, and our algorithms and statistical tools become more efficient, so-called training time for machine learning is decreasing. Just this week, CrowdAI graced the stage of Y Combinator Demo Days with a platform that promises to leverage computer vision and machine learning to automatically annotate and quantify data hidden within satellite photography. Satellite imaging has also been analyzed to help the Navy find Somali pirates, crowdsource the hunt for Malaysia Airlines flight 370 and identify deforestation zones. pixels and geographical extent per image: a single DigitalGlobe satellite image. Over time DigitalGlobe, CosmiQ Works, NVIDIA, and AWS anticipate making more than 60 million labeled satellite images accessible to the public via SpaceNet.With an increase in the number of CubeSats, high-resolution satellites and drones of every shape and size, we have accumulatedpetabytes of imagingdata thatcan beprocessed with analytics to solve myriad problems.ĭigitalGlobe, which operates imaging satellites, has built out partnerships with companies like Facebook to target rural villages with internet access using photography as a guide. including: The Multi-Temporal Urban Development SpaceNet Dataset. This initial contribution will provide the necessary data to create new algorithms to automate the extraction of features like buildings in dense urban environments. SpaceNet will launch with an initial contribution of DigitalGlobe multi-spectral satellite imagery and 200,000 curated building footprints across the city of Rio de Janeiro, Brazil. SpaceNet will for the first time open access to a large corpus of curated, high-resolution satellite imagery to incubate algorithm development. SpaceNet aims to facilitate similar advances in automating the detection and extraction of features in satellite imagery, fueled by the massive amount of information about our changing planet that DigitalGlobe collects every day, and that of emerging commercial satellite imagery providers. Most of this innovation has occurred through research enabled by ImageNet, a database of 14 million photographs labeled in over 20,000 categories. GPU-acce lerated deep learning has led to huge breakthroughs in the field of computer vision. SpaceNet is a collaboration between DigitalGlobe, CosmiQ Works, and NVIDIA, and the imagery is now freely available as a public data set on Amazon Web Services, Inc. DigitalGlobe announced the launch of SpaceNet, an online repository of satellite imagery and labeled training data that will advance the development of machine learning and deep learning algorithms that leverage remote sensing data.

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🧠 ARIA in Alzheimer's: Imaging data holds the key Amyloid-related imaging abnormalities (ARIA) are an essential focus in Alzheimer’s disease research and treatment, especially with the rise of anti-amyloid therapies. As the primary diagnostic tool for ARIA, imaging data like MRI scans are crucial for the detection and management of ARIA. At Segmed, we provide high-quality fit-for-purpose regulatory grade real-world imaging datasets (RWiD) and multimodal longitudinal datasets that support monitoring the disease progression, risk stratification, and guiding treatment decisions for ARIA management. Explore how our datasets have contributed to robust research and development for pharmaceutical and biotech companies - https://hubs.li/Q02_DqsT0

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Thrilled to announce our participation at SCOPE 2025!

We’re excited to share that Segmed will be at the SCOPE Summit in Florida from February 3rd to 6th, diving into the latest trends and innovations in clinical trials. As a leader in Real-World Imaging Data (RWiD), Segmed provides 100+ million radiology datasets for key disease areas in oncology, neurology and cardiology. By integrating these studies with other types of datasets, we deliver a comprehensive view of diseases, empowering you to harness the full potential of imaging data to drive innovation in clinical trial design, imaging biomarker identification, precision medicine, and external control arms. We look forward to engaging with industry experts to explore the applications and impact of RWiD and other data types in clinical trials. Visit our booth #820 or you can schedule a one-on-one discussion with us by filling out the form: https://hubs.li/Q033vwsC0 To learn more about Segmed’s solutions: https://hubs.li/Q033vs3g0 We look forward to seeing you in Florida!

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Building a Future for Alzheimer's Patients with Real-World Imaging Data

Segmed’s tokenized, longitudinal datasets are uniquely positioned to support Alzheimer’s research with data that reflects real-world patient journeys. These multimodal datasets allow Pharma companies to gain a 360-degree view of Alzheimer’s progression, aiding in both R&D and Real-World Evidence (RWE) generation. Connect with us to explore how our datasets can support your mission to create better therapies for Alzheimer’s patients.

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Regulatory-Grade Data for Pharma Excellence in Alzheimer's Segmed is proud to offer imaging datasets of the highest regulatory standards, specifically designed for Alzheimer’s R&D. Our datasets meet the rigorous standards necessary for regulatory submissions, helping your team generate robust Real-World Evidence (RWE) and advance drug discovery. Partner with us to bring impactful, data-driven advancements to Alzheimer’s care.

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 Exploring the future of GLP-1RA GLP-1 receptor agonists (GLP-1RA) are proving to be highly effective in managing various disorders, particularly Type 2 diabetes, and reducing the risk of cardiovascular disease. As clinical trials extend their scope to explore GLP-1RA’s potential impact on other disease areas, the need for real world and imaging data has never been greater. At Segmed, we’re proud to offer diverse, regulatory-grade imaging datasets that support your GLP-1RA research. Let’s push the boundaries of what’s possible in healthcare, together! Connect with Jessica Baldridge to understand how Segmed can support your GLP-1RA research.

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Driving Alzheimer's Research with Real-World Imaging Data At Segmed, we're committed to advancing Alzheimer's research by providing regulatory-grade imaging datasets that empower Pharma companies to accelerate their R&D. Our imaging solutions provide comprehensive, clinically relevant data, enabling insights into the disease's progression, diagnosis, and potential treatments. With a proven track record in delivering high-quality, tokenized, multimodal longitudinal datasets, we’re here to help drive meaningful change in Alzheimer’s care. Let’s push the boundaries of what’s possible in healthcare, together! Connect with Jessica Baldridge to understand how Segmed can support your Alzheimer’s research.