We're thrilled to introduce System Pro, a new AI-powered search engine that reinvents search for research. System Pro is purpose-built with explainability and trustworthiness at its core, combining LLMs with unique structured data and a patented graph architecture. It’s designed to help break down disciplinary silos and support systems-based research and solutions. We think it’s the fastest and most reliable way to find, synthesize, and contextualize scientific literature. Try it out for free (pro.system.com).
System Inc.
软件开发
New York，NY 1,070 位关注者
Relate everything, to help the world see and solve anything, as a system. System is a Public Benefit Corporation.
关于我们
We build software to help the world see and solve anything as a system. System Inc. is a Public Benefit Corporation.
- 网站
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https://about.system.com
System Inc.的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- New York，NY
- 类型
- 私人持股
地点
System Inc.员工
动态
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The World Health Organization has just declared a global emergency over the new mpox outbreak now concentrated in Congo. See the whole system: https://lnkd.in/g_7enJuR
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System Inc.转发了
The Google Knowledge Graph is a precedent for the kind of large-scale knowledge infrastructure we are building at System. I'm very excited today to welcome its inventor, Danny Hillis, to System as an advisor! Read more in my post: https://lnkd.in/e-wyaFPC
System: Danny Hillis, Inventor of the Google Knowledge Graph, Joins System as an Advisor
about.system.com
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Today we're releasing our first model on Hugging Face under OpenRAIL license, a classifier of study type using deep learning that improves on the state of the art method of identifying experimental trials. We hope it will be a useful contribution to open science. As David Kang writes in our blog post: "Study design is an important component for measuring the quality of scientific research. In biomedical and social science, there is an accepted hierarchy of study types that is arranged by how generalizable the results of the study are. After deploying the System RCT classifier into production, we were able to classify over 9,000 research studies as being RCTs where PubMed’s publication type tags were unavailable. We also identified around 6,700 studies that were previously tagged as 'experimental' but did not have a description of study design sufficient to be classified as such." Blog post: https://lnkd.in/eqXGqR9J Model: https://lnkd.in/eqXiDh6m
system-technologies/BiomedNLP-BiomedBERT-abstract-RCT-classifier-public · Hugging Face
huggingface.co
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System Inc.转发了
We are scaling up at System Inc. and hiring a GM, Healthcare & Life Sciences to help us transform healthcare from silos to systems. Our GM will lead the evolution and commercialization of our platform with partners and customers across pharma and biotech, health systems, government health and biomedical research agencies, health startups, payers, etc. This is a highly entrepreneurial leadership role for someone with extensive experience in healthcare, a passion for innovation (especially with AI), and the ambition to build something massively impactful. Please reach out to me or Sunny Bates with questions or suggestions.
General Manager, Healthcare & Life Sciences
boards.greenhouse.io
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System Inc.转发了
Join our stellar AI team as a Senior ML Engineer and help us model the world as one interconnected system... and illuminate new ways of tackling major societal challenges. Reach out to me or Mehdi Jamei for more details. https://lnkd.in/g_9KM-eX
Senior Machine Learning Engineer
boards.greenhouse.io
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Today we are taking the first, very exciting step toward scaling System beyond health with the addition of preliminary data about climate change and the environment! Climate change is the single greatest driver of complexity in the world — impacting virtually everything in some way, from migration to food security, infectious diseases to housing prices. Our aim is to use AI to represent this dynamic system accurately and comprehensively to help you understand, simulate, analyze, model, and predict its effects better, surface new solutions, and help make the case for investments and interventions. We'd love to hear from you if you're interested in the relationship between health and climate, the systemic effects of climate change, or the application of AI to tackle climate change.
System: Scaling Beyond Biomedical: Our First Step Toward Modeling Climate Change as a System
about.system.com
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At System Inc., as we work to organize the world's knowledge as one interdependent system, we often think about breadth and depth: Breadth across disciplines that are currently siloed — say, health and environment — and depth across scales that are currently siloed — say, molecular and epidemiological. Today we achieved an important milestone linking scales of knowledge with the integration of the EMBL Genome-Wide Association Studies (GWAS) database into the System Graph. Read more about how this expands genetic insights, improves data connectivity, and boosts research utility.
System: Integrating the EMBL GWAS Database into the System Graph
about.system.com
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System Inc.转发了
Cardiovascular diseases are one of the most burdensome health threats globally, accounting for nearly 20 million lives lost each year. One of the major challenges is the complex range of factors that can lead to or exacerbate someone’s risk. These include natural and built environments, social and economic contexts, genetic factors, individual behaviors, and pre-existing conditions. Each of these factors not only affect cardiovascular disease but are also interrelated and context dependent. In other words, cardiovascular diseases are a complex system. Today we're excited to share the first results of our collaboration with the Novartis Foundation to model and better understand that system. Leveraging the System Graph and System's AI, teams at the Novartis Foundation were able to quickly synthesize vast amounts of data and understand and quantify the direct and indirect relationships between thousands of social, environmental, biological, and behavioral determinants and cardiovascular health outcomes. In combination with local data, the results from this project are contributing to developing new population health roadmaps. AI4HealthyCities is led by Peter Speyer and the AI4HealthyCities Global Expert Council is co-chaired by Michelle Williams, Joan and Julius Jacobson Professor of Epidemiology and Public Health, Harvard T.H. Chan School of Public Health and Ann Aerts, Head of the Novartis Foundation.
System: Uncovering the System of Cardiovascular Disease
about.system.com
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System Inc.转发了
At the core of System is a large-scale graph database that represents the world as one interconnected system. Giving form and function to that graph —?giving complexity an interface —?is an extraordinary design brief. As someone deeply passionate about design, and in particular the intersection of big scientific ideas and big design challenges, I love that we have the need and opportunity to solve this problem. One of our first principles at System, that we refer to as "edge-first," is to architect and design from the edge out. Lisa Strausfeld, our VP Design, shares more about how we're "designing for the edge" in a new blog post out today. https://lnkd.in/eRHX9TUy
System: Designing for the Edge
about.system.com