About HealthTech Ecosystem
in the United Arab Emirates. Beta Version
Comprehensive Guide to the UAE HealthTech Ecosystem
Welcome to the UAE HealthTech Ecosystem IT Platform (beta version), a unique collaborative initiative created by Deep Knowledge Group and its subsidiaries Aging Analytics Agency, Deep Pharma Intelligence, FemTech Analytics, NeuroTech Analytics, and Deep Knowledge Analytics. As a central hub for resources, information, and interaction, our platform serves as a comprehensive guide to the thriving UAE HealthTech ecosystem.
The platform offers a wide range of features designed to inform, engage, and inspire:
• Comprehensive profiles of companies, investors, R&D centers, non-profits, clinics, scientists and entrepreneurs
• An in-depth analysis of the UAE's HealthTech ecosystem, its history, current state, and future potential
• A collaborative space for users to contribute to the platform's development and stay updated on its latest advancements
We invite you to join our community and explore the vast opportunities within the UAE HealtTech landscape. Engage with the wealth of information available, contribute to the growth and development of the industry, and help shape the future of science, technology, healthcare and wellness. Get started today and discover the power of collaboration in this rapidly evolving field.
HealthTech in the United Arab Emirates Teaser 2024
Explore the "HealthTech in the United Arab Emirates 2024" for an in-depth analysis of cutting-edge technologies in the HealthTech field, comprehensive market trend analysis, and a breakdown of regional market segments.
Uncover the connections between the UAE's geography, politics, and other unique attributes and their impact on the HealthTech sector. Join us on this platform for expert insights into a rapidly growing and dynamic industry.
Related Projects and Solutions
Partners and Contributors to the Project
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Deep Knowledge Group is a data-driven consortium of commercial and non-profit organizations active on many fronts in the realm of DeepTech and Frontier Technologies (AI, Longevity, BioTech, Pharma, FinTech, GovTech, SpaceTech, FemTech, Data Science, InvestTech), ranging from scientific research to investment, entrepreneurship, analytics, consulting, media, philanthropy and more.
FemTech Analytics (FTA) is a specialized agency focusing on the emerging FemTech sector. They offer insights into various FemTech subsectors, such as Reproductive Health, Mental Health, Menstrual Health, and more. FTA provides research, company profiling, and consulting services to support and advance the FemTech industry.
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Deep Knowledge Analytics is a leading provider of advanced analytics on DeepTech and frontier-technology industries. The company utilises sophisticated multidimensional frameworks and algorithmic methods deliver insightful market intelligence, pragmatic forecasting, and tangible industry benchmarking.
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How is your analytics AI-driven?AI is utilized at numerous stages in the process of an ecosystem mapping platform development. We have a variety of internally-developed AI algorithms using machine learning, natural language processing and other techniques for data collection, cleaning and validation, as well as algorithms for automated and semi-automated entity classification (according to type, industry, subsector, etc). We also utilize internally-developed parsing, data manipulation, NLP, and classification algorithms, as well as internally-developed long and short language models (LLMs and SSMs) for entity classification, data-transformation and synthesis (e.g., creating a valid and invariant set of entity-associated data from a number of combined sources), and for more complex sub-analyses like investment trends and industrial-economic assessments.
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How do you acquire your data and what are your data sources?We use a combination of manual, automated and semi-automated (algorithmic) approaches to data collection, using a hybrid system of our own proprietary algorithms and open-source tools, to aggregate and parse data from a wide variety of publicly-available websites and databases, including both aggregate industry-specific databases, news sources, as well as the websites of the entities featured on the platform. The exact data sources vary depending on the specific nature of the project and the resources available. Wherever possible, we utilize open-source databases with high degrees of reputability, transparency and a clear methodological description of their inclusion criteria, in combination with proprietary algorithms that extract information directly from entity (e.g., company, investor and non-profit) websites.
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What GDPR compliance do you have in place?Privacy and security are integral to the platform’s functionality. The platform employs advanced security measures for data protection, including encrypted transmission and secure data storage. Adherence to privacy standards ensures the confidential and ethical handling of data uploaded by users, including organisational and stakeholder information.
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How can we challenge or provide edits to your assessment/specific results?We welcome feedback from industry stakeholders and the public, who are encouraged to write to us at contact@ecosystem-map.info with their comments and inquiries. All feedback will be reviewed manually by our analysts for relevance and validity, and implemented in cases of legitimate error or omission.
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How can you ensure the accuracy of your data?We have a stringent quality assurance pipeline in place to manually review data obtained by our proprietary algorithms. Measures in place include: Manual preparation of the analytical framework underlying a given ecosystem mapping project, which quantifies and qualifies the criteria for entity classification by type and by industry, sector or, by a qualified analyst with professional experience in the thematic domain of the project Manual review by automated and semi-automated data collection outputs by qualified analysts Deeper manual review of randomised portions of parsed data Manual cross-checking of data between two distinct sources on randomised portions of a given project-specific database for human data validation
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How much of your results are based on self reported data?Wherever possible (i.e., wherever reputable industry, region or domain-specific databases exist for a given project’s topic or theme), we utilize a combination of self-reported data (e.g., obtained directly from entity websites) and multiple open-source databases. In cases where such databases do not exist, where the methodological rigour and basis of those databases cannot be manually assessed and validated for competency, relevancy, transparency and rigour by our manual analysts, or whether platform-featured entities are absent from such databases (but otherwise qualify for inclusion on the basis of the project's manually-curated analytical framework, which defines the qualifying criteria for entity inclusion and classification), we rely on data self-reported on entity websites.
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What are your main data sources and data points?We utilize a wide variety of publicly-available websites and databases, including both aggregate industry-specific databases, news sources, as well as the websites of the entities featured on the platform. The exact data sources vary depending on the specific nature of the project and the resources available. Wherever possible, we utilize open-source databases with high degrees of reputability, transparency and a clear methodological description of their inclusion criteria, in combination with proprietary algorithms that extract information directly from entity (e.g., company, investor and non-profit) websites.
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Are we able to share your results?Yes. Provided that you attribute us as the source of the data, you are able to share or otherwise utilise our data on your website, regardless of commercial vs. non-commercial purpose or intent.
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How often do you update your results?While a number of our commercial products and services have high-frequency semi-automated updating of data, typically our open-access ecosystem mapping platforms are prepared for launch, and updated at our discretion. In many cases, on the basis of manual analysis of industry, regional and domain-specific developments and monitoring, we choose to release updated iterations of our ecosystem mapping platforms and projects, sometimes as frequently as every financial quarter for very fast-developing industries or industry-regional domains.