DXcharts
In just a few days, you can integrate and customize a lightning-fast financial table with your product. You can make changes or create a completely new interface. You want more? We offer a full access alternative. Data feeds with futures and indices, equities, FX and cryptocurrencies by default. Sign up now to get your data feeds. DXcharts can be integrated with any market data source, as it is data feed-agnostic. Native libraries for all platforms. Native web, native mobile & desktop. Get a solution that is specifically tailored to your product. Analyzing statistics from trading activity can help you evaluate securities and predict their future movements. You can create custom studies with the intuitive dxScript. You can adjust the layout of charts however you like and sync them by instrument, chart type and timeframe, range, studies & appearance.
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SurveyJS
SurveyJS is a set of four open-source JavaScript libraries that offer the benefits of a tailor-made in-house survey application, while considerably reducing the time and resources needed to deploy the system. These libraries are independent of specific server code or database requirements and seamlessly integrate with popular JavaScript frameworks, including React, Angular, Vue.js, jQuery, Knockout, and more. They are designed to communicate with any server that can handle JSON requests, ensuring compatibility with various server architectures and databases.
The product family is composed of:
- An open-source MIT-licensed rendering library that renders dynamic JSON-based forms in your web application, and collects responses.
- A self-hosted drag & drop form builder that features an integrated CSS-based theme editor and a GUI for conditional rules. It automatically generates JSON definitions (schemas) of your forms in real time.
- PDF Generator, a library that renders SurveyJS surveys and forms as PDF files in a browser;
- The Dashboard library that allows you to simplify survey data analysis with interactive and customizable charts and tables.
Visit our website to try out and evaluate our full-scale demo for free.
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REDCap Cloud
REDCap Cloud serves as a comprehensive data-science platform that empowers organizations to gather, integrate, standardize, analyze, and disseminate clinical and research data that meets real-world and regulatory standards, all within a cohesive, standards-driven system. This platform facilitates the complete lifecycle of randomized clinical trials and real-world evidence research by providing diverse modules tailored for intricate trial design and execution, a centralized clinical data hub that integrates both eCRF and non-eCRF sources, AI/ML capabilities for real-time operational and data insights, and seamless connectivity to eSource and EHR systems. Additionally, it enhances patient engagement through tools like ePRO/eCOA and wearable devices, accommodating both hybrid and decentralized trial models. The analytics features include options for synthetic control arms and digital twins, ensuring adherence to global security compliance standards. Ultimately, REDCap Cloud is designed to mitigate data silos, eliminate vendor fragmentation, facilitate bidirectional data flows, and offer sponsors, CROs, and health systems comprehensive visibility and oversight regarding site performance, study data integrity, and regulatory preparedness. By streamlining these processes, organizations can achieve greater efficiency and effectiveness in their research endeavors.
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EnsoData
We are confident that Waveform AI has the potential to significantly enhance the healthcare landscape, and we are developing a platform designed to equip clinicians with essential information and support throughout the entire care continuum. Transforming healthcare truly requires collective effort, and to play our part in advancing the industry, we are publishing peer-reviewed research on AI to illustrate its benefits at every stage of the patient care experience. Our platform aims to assist providers in identifying individuals at high risk for sleep apnea by leveraging data from electronic medical records, waveforms, wearables, and various other sources, facilitating timely referrals for diagnosis. By utilizing this data, we can aid healthcare providers in pinpointing the most critical patients among the vast undiagnosed population, categorizing them based on their risk for adverse outcomes and potential healthcare costs. Additionally, we strive to streamline the diagnostic process for clinicians, enabling them to treat more patients efficiently and effectively by improving the overall quality and speed of sleep apnea diagnoses. In doing so, we hope to foster a healthier future for all patients.
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