Senior/Staff Machine Learning Data Scientist In Brief We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team...

About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering...

Zoom is the leader in modern enterprise cloud communications.

issue-status publishes service health, incidents and scheduled maintenance using GitHub Issues, GitLab Issues or static data sources. The post issue-status – status pages powered by issue trackers appeared first on LinuxLinks.

EVERSANA has acquired UK AI-powered health economics and outcomes research (HEOR) firm Estima to help its customers "modernise commercialisation."

About Solace Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy...

issue-status is a status page application that turns information maintained in an issue tracker into a public service-health dashboard. It is intended for communicating operational conditions, maintenance and incident updates, rather than automatically probing websites or servers. Teams can maintain status information using familiar issue-management workflows. Labels identify the purpose of each issue and the condition of the affected service, while issue content provides the explanation shown to visitors. The generated frontend can be published through a static web host. A provider system separates the page interface from its data source, allowing the same presentation to work with different backends. This is free and open source software. #### Key Features * Use GitHub Issues or GitLab Issues as the source of service and incident information. * Connect the GitLab provider to GitLab.com or a specified alternative GitLab host. * Represent individual services as components with operational, degraded performance, partial outage or major outage states. * Organise components into parent and child relationships, such as a delivery network divided into geographical regions. * Distinguish active incidents from scheduled maintenance through issue labels. * Present historical incidents and postmortem information alongside current service conditions. * Support Markdown for formatting incident descriptions and explanations. * Include pre-built incident templates that can be adapted to a team’s reporting conventions. * Configure the page name, description and data provider through a TypeScript configuration file. * Provide a static-data provider for explicitly defined components and incidents, particularly useful during testing. * Cache provider responses in the browser to reduce repeated requests and respect API limits. * Generate frontend assets suitable for static hosting without a dedicated status-page application server. **Website:** **github.com/tadhglewis/issue-status** **Support:** **Developer:** Tadhg Lewis and contributors **License:** MIT License issue-status is written in TypeScript. Learn TypeScript with our recommended **free books** and **free tutorials**. * * * #### Related Software **Status Page Systems** --- **Uptime Kuma**| Excellent monitoring tool with a simple status page **Statping-ng**| Status page and monitoring server **Cachet**| Status page system for everyone **Checkmate**| Self-hosted infrastructure monitoring application **OpenStatus**| Status page and uptime monitoring platform **Upptime**| Uptime monitor / status page using GitHub Actions, Issues, and Pages **Kener**| Node.js status page tool **Gatus**| Developer-oriented status dashboard and health monitoring application **Vigil**| Microservices status page **cState**| Tiny and simple status page **HertzBeat**| Observability platform **Cabot**| Provides features of PagerDuty, Server Density, Pingdom and Nagios **PHP Server Monitor**| Script that checks whether your websites and servers are up and running **YASP**| Self-hosted status page application **Statusfy**| Focus on writing your Incidents Reports and let the magic happen Read our verdict in the **software roundup**. * * * LinuxLinks helps you discover the best free and open source software for Linux. Explore our extensive collection of **recommended applications** , including alternatives to popular proprietary software. We also publish software reviews, Linux tutorials, hardware reviews, free programming books and articles covering the wider open source community. Browse our **Linux resources** to discover more. Know a useful free and open source Linux application we haven't covered? **Suggest a program** for inclusion. Has your software been featured on LinuxLinks? Display one of our **Featured on LinuxLinks badges** on your website or GitHub README. ---

Emerging large-scale data ecosystems enhance the value and integration of data and resources from disparate research programs. Here, the authors describe the US National Institutes of Health (NIH) Common Fund Data Ecosystem (CFDE), which integrates data resources from 18 NIH Common Fund programs. Through a community-driven infrastructure, CFDE has devised solutions to critical issues facing cross-program initiatives, including data scale and heterogeneity, dataset integration, and sustainability. CFDE’s standards-driven, federated approach enhances cross-disciplinary resources, fostering collaboration and data-driven discovery.

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health....

The two-year programme is designed to prepare professionals who can bridge health sciences with statistics, computing, and analytical methods for big data to help improve human and planetary health. The curriculum integrates statistics, computer science, artificial intelligence, informatics, biomedical engineering, ethics and critical elements of public health. Graduates from the program will be competent in applying data-driven solutions to support evidence-based decision-making for complex health problems. The programme incorporates recent developments in digital health, applied machine learning, artificial intelligence and analytics, with foundational knowledge about health at individual and population levels, with one year of coursework and one-year mentored interdisciplinary industry internship. Students will learn about emerging approaches for analysing complex health data, including medical imaging (pathology and radiology), multiomics (metabolomics, genomics, and other omics), exposome data, and other highdimensional datasets. Students will gain skills in advanced statistical and computational methods, including multivariate and discriminant analysis, machine learning, deep learning, natural language processing, and integrative data analysis, to generate meaningful insights for health and biomedical research. The programme follows a progressive learning pathway designed to support students from diverse academic backgrounds. Learning is centred on methodological skills, real-world data on health, healthcare, and related factors, collaborative assignments, and applied projects...

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In...

An early assessment of the UK’s Our Future Health project shows how national-scale cohorts may reshape population medicine by accelerating discovery and clinical recruitment, provided that selection and phenotyping biases are carefully measured and managed.

YouTube video by Equalise: ESRC Centre for Lifecourse Health Equity

Working with Hospital Episode Statistics (HES) can unlock valuable insights for health research and policy—but producing reliable findings requires a clear understanding of how these complex data are collected, coded, structured, and managed. Join our online seminar for PhD students and professional researchers to explore HES data quality, common inconsistencies and biases, strengths and limitations, secure and confidential analysis, and the process of applying for data access. Lectures and hands-on exercises using simulated data in R or Stata will help you build practical skills you can adapt to your own projects; no prerequisites are required for the lecture sessions. Attend live via Zoom or learn asynchronously, with recordings and materials available for 30 days, plus access to an expert-moderated Q&A forum and an Instats certificate of completion. #Epidemiology #Healthcare #PublicHealth #Biostatistics #DataAnalytics #DataScience #administrativedata #InformationScience #Statistics #Ethics #Medicine #R #Stata #Research #ResearchTraining #Instats

How can we predict connections that involve groups—not just pairs? Join Professor Moses Boudourides of Northwestern University for a four-day, non-coding online workshop on hyperlink prediction in hypergraphs. Designed for PhD students, academics, and professional researchers, the workshop explores how hypergraphs can reveal collective dynamics in fields such as social science, health, bioinformatics, finance, and transportation. Discover methods for hypergraph reconstruction, hidden hyperedge prediction, and temporal forecasting, alongside approaches including similarity-based heuristics, embeddings, Hypergraph Neural Networks, and spectral methods. Participants will gain a practical conceptual toolkit for applying these ideas in their own research. Seminars are delivered via Zoom, with recordings and materials available for 30 days, plus access to an expert-monitored Q&A forum and an Instats certificate of completion. #Engineering #ComputerScience #Business #SocialSciences #DigitalHumanities #HealthSciences #InformationScience #Statistics #Mathematics #DataScience #Bioinformatics #Python #Research #ResearchTraining #Instats

About usRuby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health,...

Ready to move beyond mapping and build statistically rigorous spatial analyses in R? Join our online seminar for PhD students and professional researchers, introducing practical methods for analyzing point-referenced and areal data across fields including environmental science, public health, ecology, agriculture, and the social sciences. Learn to explore spatial data, assess dependence, build variograms, apply kriging and spatial regression, diagnose models, and communicate uncertainty through reproducible workflows and publication-quality outputs. The seminar combines statistical foundations with hands-on implementation in R, helping you choose and justify methods suited to your research. Attend live via Zoom or revisit the recordings and materials for 30 days; expert Q&A support is also available for 30 days after the seminar. Participants receive an official Instats certificate of completion. #DataScience #Statistics #Ecology #Epidemiology #Biostatistics #Geography #Quarto #R #Research #ResearchTraining #Instats

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector...

Director of AI/ML In Brief We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with...

How can AI agents support rigorous, reproducible research without replacing scholarly judgment? Join Professor Leonid Chindelevitch of Imperial College London’s School of Public Health for a practical online seminar on designing and assembling AI research agents for academic work. Explore how to identify tasks for automation, adapt existing tools or build custom workflows, and verify outputs to reduce errors and avoid pitfalls such as hallucinated citations. Through guided demonstrations, you’ll develop practical skills for applying agentic AI to literature, data preparation, documentation, and other research workflows while keeping transparency and human oversight at the center. The seminar is delivered via Zoom, with recordings and materials available for 30 days, plus a monitored Q&A forum and an Instats certificate of completion. #ResearchMethods #ResearchWorkflows #Education #InformationScience #DataScience #ComputerScience #SoftwareEngineering #Antigravity #ClaudeCode #Codex #Grok #Research #ResearchTraining #Instats

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health....

What is PerfectServe? PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in...

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments...