# Health Published articles for Health. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From noise to signal: Monitoring Amazon DocumentDB like a pro DevFeed: [From noise to signal: Monitoring Amazon DocumentDB like a pro]() Original publisher: [Read original article]() Author: Deepak Deepesh Published: 2026-09-09T15:23:20Z Content type: tutorial Language: en Sources: [AWS Database Blog]() Topics: [Amazon DocumentDB](), [site-reliability-engineering](), [Amazon CloudWatch Logs](), [Database]() Tags: [amazon](), [amazon-cloudwatch](), [amazon-cloudwatch-logs](), [amazon-documentdb](), [best-practices](), [database](), [devops](), [expert-400](), [health](), [how-to](), [logs](), [metrics](), [monitoring](), [on-call](), [operations](), [performance](), [production]() ### AI overview A tutorial on monitoring production Amazon DocumentDB clusters with tiered alerts, CloudWatch metrics, Performance Insights, profiler logs, slow-query diagnosis, and garbage-collection health checks. ### Source excerpt Learn how to build a tiered alerting strategy for Amazon DocumentDB by organizing CloudWatch metrics into Critical, Warning, and Advisory tiers, diagnosing slow queries through three complementary lenses, and monitoring garbage collection health before it becomes a cluster-wide incident. ## How Kubernetes Actually Works DevFeed: [How Kubernetes Actually Works]() Original publisher: [Read original article]() Author: Nikki Siapno Published: 2026-08-21T12:52:09Z Content type: tutorial Language: en Sources: [Level Up Coding System Design Newsletter]() Topics: [Kubernetes](), [Containers](), [Deployment](), [API](), [Replication]() Tags: [api](), [components](), [containers](), [deployment](), [health](), [kubernetes](), [reconciliation](), [replication]() ### AI overview A tutorial explaining Kubernetes as a platform that continuously reconciles desired and actual cluster state. It covers Pods, scheduling, container health monitoring, failure recovery, and the roles of the control plane and worker nodes. ### Source excerpt The mental model that makes Kubernetes click. ## Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery DevFeed: [Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery]() Original publisher: [Read original article]() Published: 2026-08-17T10:34:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Deep neural networks](), [Deep learning](), [Machine learning](), [Google]() Tags: [deep-learning](), [general-science](), [google](), [health](), [health-bioscience](), [machine-intelligence](), [machine-learning](), [monitoring](), [multimodal](), [science]() ### AI overview Google Research presents PhotoScan, a deep learning approach that estimates body composition from smartphone photos and predicts insulin resistance with accuracy comparable to DXA scans in a clinical research setting. The article explains how body-composition measures such as fat distribution and visceral fat may complement wearable data for earlier cardiometabolic risk assessment. ### Source excerpt General Science ## Collecting CPU and memory metrics for AWS Lambda MicroVMs DevFeed: [Collecting CPU and memory metrics for AWS Lambda MicroVMs]() Original publisher: [Read original article]() Author: Eric Heinz Published: 2026-08-14T11:11:55Z Content type: tutorial Language: en Sources: [AWS Compute Blog]() Topics: [telemetry](), [Processes]() Tags: [advanced-300](), [agent](), [amazon-cloudwatch](), [aws](), [aws-lambda](), [cpu](), [health](), [how-to](), [json](), [latency](), [memory](), [metrics](), [monitor](), [monitoring](), [observability](), [opentelemetry](), [os](), [process](), [production](), [startup](), [technical-how-to]() ### AI overview A tutorial on collecting CPU and memory metrics from AWS Lambda MicroVMs with the Amazon CloudWatch Agent. It explains configuring Telegraf and OpenTelemetry Collector files to emit metrics with a custom dimension from an environment variable. ### Source excerpt Learn how to collect CPU and memory metrics from AWS Lambda MicroVMs using the CloudWatch Agent. Configure telegraf and OTel to monitor and right-size your workloads. ## Monitor Your Drive Health with Performance Co-Pilot on Fedora DevFeed: [Monitor Your Drive Health with Performance Co-Pilot on Fedora]() Original publisher: [Read original article]() Author: Paul Evans Published: 2026-08-10T08:00:00Z Content type: article Language: en Sources: [Fedora Magazine]() Topics: [Fedora](), [Monitoring](), [Grafana](), [telemetry]() Tags: [data](), [diagnostics](), [drive](), [farm](), [fedora-project-community](), [grafana](), [hdd](), [health](), [home-server](), [metrics](), [monitor](), [monitoring](), [nvme](), [open-source](), [performance](), [performance-metrics](), [self-hosted](), [server](), [smart](), [ssd](), [telemetry](), [wwid]() ### AI overview This article explains how to monitor drive health on Fedora using Performance Co-Pilot (PCP). It covers SMART metric collection for HDDs, SSDs, and NVMe drives, NVMe error-log decoding, WWID-based tracking, Seagate FARM telemetry, continuous metric collection, and Grafana dashboards for viewing drive-health trends. ### Source excerpt You wake up one morning to find your home server unresponsive, after some investigation you discover a failed NVMe drive taking your self-hosted services and data with it. Perhaps you're a system administrator and a workstation's SSD has been silently accumulating errors for months, and now a user is reporting corrupted files. Drive failures are [...] ## Working with the American Psychological Association on youth mental health and AI DevFeed: [Working with the American Psychological Association on youth mental health and AI]() Original publisher: [Read original article]() Published: 2026-08-06T06:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [Responsibility & Safety](), [responsible-ai](), [AI Development]() Tags: [ai](), [company](), [health](), [mental-health](), [openai](), [policy](), [resources](), [responsible-ai]() ### AI overview OpenAI is working with the American Psychological Association to apply psychological science to responsible AI development and use among young people. The collaboration aims to produce evidence-based guidance, family resources, and safeguards focused on youth well-being. ### Source excerpt OpenAI and the American Psychological Association advance evidence-based guidance, resources, and safeguards for responsible AI use and youth mental health. ## A new benchmark for evaluating patient-facing health AI agents DevFeed: [A new benchmark for evaluating patient-facing health AI agents]() Original publisher: [Read original article]() Author: Korosh Vatanparvar; Ashutosh Joshi Published: 2026-07-29T15:16:52Z Content type: article Language: en Sources: [Amazon Science homepage]() Topics: [AI Bots]() Tags: [agentic-ai](), [agents](), [ai](), [benchmark](), [conversational-ai](), [evaluation](), [foundation-models](), [health](), [healthcare](), [safety](), [synthetic]() ### AI overview The article introduces PatientAgentBench, a clinician-vetted benchmark for evaluating the safety and task performance of patient-facing healthcare AI agents in realistic, multiturn conversations. ### Source excerpt PatientAgentBench generates a synthetic patient health record, a realistic clinical vignette, and a patient agent that converses with the AI system under evaluation, to capture what a patient-facing agent actually has to do. ## How a medical database developed at MIT evolved into a global standard of data-sharing DevFeed: [How a medical database developed at MIT evolved into a global standard of data-sharing]() Original publisher: [Read original article]() Author: Emma Foehringer Merchant | Institute for Medical Engineering and Science Published: 2026-07-29T14:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [data](), [Database](), [datasets]() Tags: [academic](), [artificial-intelligence](), [data](), [database](), [electrical-engineering-and-computer-science-eecs](), [global-data-sharing](), [harvard-mit-health-sciences-and-technology](), [harvard-mit-health-sciences-and-technology-hst](), [health](), [health-care](), [health-data-nexus](), [health-sciences-and-technology](), [history](), [history-of-mit](), [history-of-science](), [history-of-science-and-technology](), [information-systems](), [institute-for-medical-engineering-and-science-imes](), [internet](), [medical-data-sharing](), [medicine](), [mimic-medical-information-marked-for-intensive-care](), [mit-imes](), [mit-rle](), [physionet](), [repositories](), [research](), [research-laboratory-of-electronics](), [school-of-engineering](), [science](), [thomas-heldt](), [tom-pollard]() ### AI overview An MIT-developed collection of digitized electrocardiogram recordings became the foundation of PhysioNet, a global repository for biomedical and clinical data. The platform now hosts hundreds of databases and supports research users worldwide. ### Source excerpt The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence. ## Launching Health in ChatGPT DevFeed: [Launching Health in ChatGPT]() Original publisher: [Read original article]() Published: 2026-07-23T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [iOS](), [Security](), [Web](), [foundation-models]() Tags: [apple](), [apple-health](), [apps](), [chatgpt](), [foundation-models](), [health](), [ios](), [privacy](), [product](), [security](), [web]() ### AI overview Health in ChatGPT is launching to eligible users in the United States, allowing them to securely connect Apple Health and supported medical records for more personalized health conversations. The feature is available to logged-in users aged 18 and older on web and iOS, with layered privacy and security safeguards. ### Source excerpt Health in ChatGPT now lets eligible U.S. users securely connect medical records and Apple Health to get more personalized insights and better understand their health. ## Our approach to bioresilience DevFeed: [Our approach to bioresilience]() Original publisher: [Read original article]() Author: Google DeepMind; Isomorphic Labs Published: 2026-07-16T09:30:42Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [AI Models](), [Artificial Intelligence](), [Google](), [Frontier AI](), [synthid](), [Security](), [watermarking](), [Monitoring]() Tags: [agents](), [ai](), [ai-models](), [frontier-ai](), [gemini](), [global](), [google](), [health](), [models](), [partners](), [research](), [responsibility-safety](), [safety](), [security](), [synthid](), [watermarking]() ### AI overview Google DeepMind and Isomorphic Labs outline a joint bioresilience program that uses AI models and agents to help prevent misuse, detect outbreaks and support responses to biological threats. The approach combines partnerships, model safety measures and tools such as SynthID with applications in protein structure prediction, drug design and genome research. ### Source excerpt Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models. ## Designing For Distressed Users: Why Mental Health Apps Shouldn't Follow Every UI Fashion DevFeed: [Designing For Distressed Users: Why Mental Health Apps Shouldn't Follow Every UI Fashion]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Kat Homan) Published: 2026-07-09T15:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [App](), [User interface design](), [Accessibility]() Tags: [cognitive-load](), [design](), [evaluation](), [experimentation](), [health](), [innovation](), [mental-health](), [research](), [retention](), [ui](), [ux]() ### AI overview This article argues that mental health apps should prioritize simplicity, reduced cognitive strain, accessibility, trust, and retention over fashionable interface trends. It presents trend-driven design as a potential source of friction for distressed or overwhelmed users and introduces an evaluation framework grounded in research, product audits, and app-store evidence. ### Source excerpt Many UI trends are designed to capture attention and signal innovation, but those goals often conflict with the needs of mental health apps: reducing cognitive strain, fostering trust, and providing a sense of refuge. Kat Homan introduces an evaluation framework that helps designers assess whether trendy visual and interaction patterns support or undermine the unique goals of mental health experiences. ## SensorFM: Towards a general intelligence and interface for wearable health data DevFeed: [SensorFM: Towards a general intelligence and interface for wearable health data]() Original publisher: [Read original article]() Published: 2026-07-09T09:56:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [foundation-models](), [datasets](), [multimodal](), [data](), [Google]() Tags: [ai](), [data](), [generative-ai](), [google](), [health](), [machine-intelligence](), [model](), [models](), [multimodal](), [research](), [train](), [training]() ### AI overview Google Research introduces SensorFM, a large sensor foundation model trained on more than one trillion minutes of de-identified, multimodal wearable data from five million consented participants. The model learns reusable representations of human physiology that transfer across health prediction tasks and support label-efficient adaptation and data infilling. ### Source excerpt Generative AI ## MIT in the media: Innovating and educating for the next 250 years of America DevFeed: [MIT in the media: Innovating and educating for the next 250 years of America]() Original publisher: [Read original article]() Published: 2026-07-01T20:30:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Physical AI](), [Learning](), [Machine learning]() Tags: [ai](), [artificial-intelligence](), [curiosity](), [education-teaching-academics](), [funding](), [health](), [learning](), [physical-ai](), [president-sally-kornbluth](), [research](), [students](), [teaching](), [teamwork](), [university]() ### AI overview At a Washington Post Live panel, MIT President Sally Kornbluth discussed curiosity-driven research, university preparation for an AI-enabled future, and a human-centric approach to AI education. She emphasized foundational STEM knowledge, ethical and civic education, physical AI, collaboration, and AI as an augmentation tool. ### Source excerpt During a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America's rapidly changing technological landscape. ## Introducing the Cluster API plugin for Headlamp DevFeed: [Introducing the Cluster API plugin for Headlamp]() Original publisher: [Read original article]() Author: Chayan Das Published: 2026-06-25T22:00:00Z Content type: article Language: en Sources: [Kubernetes Blog]() Topics: [dashboards]() Tags: [api](), [browser](), [debugging](), [health](), [kubernetes](), [metrics](), [open-source](), [operations](), [prometheus](), [scale](), [ui]() ### AI overview Introduces a Headlamp plugin that provides a visual interface for managing and troubleshooting Cluster API resources in Kubernetes. ### Source excerpt Headlamp is an open-source, extensible Kubernetes SIG UI project designed to let you explore, manage, and debug cluster resources directly from a browser. Cluster API (CAPI) is a Kubernetes sub-project that brings declarative, Kubernetes-style APIs to cluster lifecycle management. It lets platform teams provision, upgrade, and manage the lifecycle of Kubernetes clusters using standard Kubernetes objects stored and reconciled in a management cluster. Managing Cluster API resources has historically required raw kubectl commands and deep familiarity with ownership hierarchies. The Headlamp Cluster API plugin brings visual clarity, faster debugging, and simplified operations for platform teams, directly inside Headlamp. What this plugin provides The Cluster API plugin adds a dedicated Cluster API section to Headlamp and brings full visibility into core CAPI resources through consistent list and detail views. Feature Description Cluster overview View clusters with live control plane and worker replica status. Machine visibility Inspect MachineDeployments, MachineSets, Machines, and MachinePools with status and conditions. Cluster API dashboard Get a centralized view of Cluster API resource health, active condition issues, provider information, and remediation guidance. Control plane monitoring Track KubeadmControlPlane replicas, versions, and associated Machines. Scale from the UI Scale MachineDeployments and MachineSets directly from Headlamp. Owned resource hierarchy Trace relationships between clusters, deployments, sets, and machines. KubeadmConfig inspection View bootstrap configs, files, kubelet args, and join/init settings. Topology awareness Automatically detect and label ClusterClass-managed resources. Map view Visualize Cluster, Control Plane, and Worker relationships. Dynamic API versioning Supports both v1beta1 and v1beta2 Cluster API versions. Prometheus metrics View live metrics from the Headlamp Prometheus plugin inline on Cluster API resource detail pages ## pproxy: a forward proxy that load-balances a pool of upstream proxies DevFeed: [pproxy: a forward proxy that load-balances a pool of upstream proxies]() Original publisher: [Read original article]() Published: 2026-06-22T00:00:00Z Content type: article Language: en Sources: [Andika Ahmad Ramadhan -- Blog]() Topics: [proxy](), [client](), [health checks](), [HTTP]() Tags: [client](), [health](), [health-checks](), [http](), [prometheus](), [proxy](), [reload](), [round-robin](), [socks5](), [tls]() ### AI overview This article presents pproxy, a forward proxy that distributes client traffic across upstream proxies. It describes active health checks, round-robin selection, failover within requests, hot configuration reloads, per-user authentication, and Prometheus metrics. ### Source excerpt pproxy is a forward proxy that load-balances client traffic across a pool of upstream proxies with active health checks and hot config reload, so switching proxy providers means editing one config file instead of every client. ## Improving health intelligence in ChatGPT DevFeed: [Improving health intelligence in ChatGPT]() Original publisher: [Read original article]() Published: 2026-06-18T11:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [AI Chat](), [ai observability]() Tags: [chatgpt](), [communication](), [gpt](), [health](), [product](), [reasoning](), [safety]() ### AI overview GPT-5.5 Instant improves ChatGPT's health and wellness responses through stronger context handling, clearer uncertainty communication, and physician-informed health evaluations. ### Source excerpt Learn how GPT-5.5 Instant improves ChatGPT's health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations. ## MIT in the media: For the future of tech, "Massachusetts can absolutely lead" DevFeed: [MIT in the media: For the future of tech, "Massachusetts can absolutely lead"]() Original publisher: [Read original article]() Published: 2026-06-18T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [AI Strategy](), [Robotics]() Tags: [ai](), [alumni-ae](), [applied-ai](), [articles](), [artificial-intelligence](), [biotechnology](), [cambridge-boston-and-region](), [computer-science-and-technology](), [courses](), [energy](), [faculty](), [funding](), [health](), [manufacturing](), [president-sally-kornbluth](), [quantum-computing](), [quantum-technologies](), [research](), [robotics](), [startup](), [startups](), [students](), [tech](), [technology-and-society]() ### AI overview MIT's research, AI initiatives, online courses, and entrepreneurship programs are highlighted in coverage of Massachusetts' technology ecosystem and its potential for continued leadership. ### Source excerpt Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players' ## Research into how AI can help users understand skin conditions DevFeed: [Research into how AI can help users understand skin conditions]() Original publisher: [Read original article]() Published: 2026-06-12T17:52:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Artificial Intelligence](), [Human-AI evaluation](), [AI Research](), [Google](), [AI Models](), [datasets]() Tags: [ai](), [ai-models](), [datasets](), [google](), [health](), [health-bioscience](), [human-computer-interaction-and-visualization](), [model](), [research](), [validation]() ### AI overview Google Research presents recent and past studies on how AI-powered informational tools may help people understand skin concerns and make better decisions about next steps. The work examines consumer understanding, human factors, model validation, and supporting datasets in dermatology-related health information. ### Source excerpt Health & Bioscience ## Towards passive heart health monitoring via smartphone camera DevFeed: [Towards passive heart health monitoring via smartphone camera]() Original publisher: [Read original article]() Published: 2026-06-04T19:47:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Monitoring](), [webcam](), [dataset](), [Deep learning](), [Google](), [Ground truth / benchmark quality]() Tags: [deep-learning](), [devices](), [google](), [health](), [health-bioscience](), [heart-rate-monitoring](), [human-computer-interaction-and-visualization](), [machine-intelligence](), [model](), [monitoring](), [publication](), [research](), [resource](), [smartphones]() ### AI overview Google Research presents PHRM, a research system that passively estimates heart rate and resting heart rate from facial video captured by a smartphone's front-facing camera during everyday use. The system applies deep learning to video recorded after face unlock events and reports accuracy comparable to electrocardiogram-derived ground truth and wearable trackers. The publication also releases a large, diverse smartphone-video dataset and the pre-trained PHRM-mini model for qualified researchers. ### Source excerpt Health & Bioscience ## Biodefense in the Intelligence Age DevFeed: [Biodefense in the Intelligence Age]() Original publisher: [Read original article]() Published: 2026-06-04T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [Resilience](), [Security](), [OpenAI]() Tags: [ai](), [drug-discovery](), [global-affairs](), [health](), [intelligence-age](), [openai](), [research](), [resilience](), [security]() ### AI overview An action plan for using advanced AI capabilities in biology and biodefense, with safeguards, evidence, and governance to support biological security, pandemic preparedness, earlier threat detection, faster countermeasure development, and more coordinated crisis response. ### Source excerpt An action plan for AI-powered biological resilience ## Boston Children's uses AI to unlock new diagnoses DevFeed: [Boston Children's uses AI to unlock new diagnoses]() Original publisher: [Read original article]() Published: 2026-05-29T12:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [ChatGPT](), [AI Strategy](), [data]() Tags: [ai](), [chatgpt](), [data](), [enterprise](), [health](), [infrastructure](), [innovation](), [openai](), [operations](), [workflows]() ### AI overview Boston Children's Hospital embedded AI across clinical, research, and administrative workflows, using an enterprise AI layer and internal ChatGPT environment to improve care, reduce operational burden, save time, and help diagnose more than 40 previously unresolved rare conditions. ### Source excerpt Boston Children's Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases. ## Strengthening societal resilience with Rosalind Biodefense DevFeed: [Strengthening societal resilience with Rosalind Biodefense]() Original publisher: [Read original article]() Published: 2026-05-29T03:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Resilience](), [Artificial Intelligence](), [Frontier AI](), [OpenAI](), [Security]() Tags: [2025](), [ai](), [frontier-ai](), [government](), [gpt](), [health](), [openai](), [product](), [resilience](), [security]() ### AI overview OpenAI announces Rosalind Biodefense, a program for trusted developers building biodefense and pandemic-preparedness capabilities, and expands access to GPT-Rosalind for selected U.S. government and allied partners. The article describes a broader strategy using advanced AI, evaluations, monitoring, safeguards, and security controls to strengthen public health and resilience against biological threats. ### Source excerpt OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI. ## Strengthening Singapore's AI Future: A New National Partnership DevFeed: [Strengthening Singapore's AI Future: A New National Partnership]() Original publisher: [Read original article]() Author: Google DeepMind Published: 2026-05-16T09:13:34Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Frontier AI](), [Google](), [AI Strategy](), [Artificial Intelligence](), [AI research agents]() Tags: [agents](), [ai](), [ai-agents](), [business](), [education](), [frontier-ai](), [google](), [government](), [growth](), [health](), [healthcare](), [innovation](), [partnership](), [partnerships](), [research](), [responsibility-safety](), [science](), [strategy]() ### AI overview Google DeepMind and Singapore are launching national partnership programmes applying frontier AI to healthcare, life sciences, education, scientific research, and workforce development. The initiative aims to support responsible AI deployment, public-sector transformation, and economic growth. ### Source excerpt Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more. ## Advancing youth safety and wellbeing in EMEA DevFeed: [Advancing youth safety and wellbeing in EMEA]() Original publisher: [Read original article]() Published: 2026-05-05T00:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [Responsibility & Safety](), [responsible-ai](), [OpenAI]() Tags: [ai](), [education](), [europe](), [health](), [openai](), [policy](), [privacy](), [responsible-ai](), [safety]() ### AI overview OpenAI introduces a European Youth Safety Blueprint and announces the first recipients of its EMEA Youth & Wellbeing Grant. The blueprint proposes five policy pillars covering responsible AI adoption in education, age-appropriate safeguards, privacy-preserving age assurance, protections against harmful outputs, and parental controls. The EUR 500,000 grant program supports 12 organizations conducting work and research on youth safety, wellbeing, AI literacy, mental health support, and related resources. ### Source excerpt Explore OpenAI's European Youth Safety Blueprint and EMEA Youth & Wellbeing Grants, advancing safe, responsible AI for teens, families, and educators. [Next page]()