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Australia Health News API

Get the live top health headlines from Australia with our JSON API.

Get API key for the Australia Health News API

API Demonstration

This example demonstrates the HTTP request to make and the JSON response you will receive when you use the news api to get the top headlines from Australia.

GET
https://gnews.io/api/v4/top-headlines?country=au&category=health&apikey=API_KEY
{
    "totalArticles": 171870,
    "articles": [
        {
            "id": "a8b92ef040f3f6efffdc2c3123538943",
            "title": "Texas A&M researchers uncover new insights into bone healing challenges for people with Down syndrome",
            "description": "NIH-funded study finds bone injuries worsen with age in Down syndrome, paving the way for targeted treatments that could improve quality of life.",
            "content": "Around 350,000 people in the United States have Down syndrome (DS), a genetic condition associated with lower bone mass and increased risk of bone fracture. Research from Texas A&M University has previously shown that when people with DS get bone fra... [4053 chars]",
            "url": "https://stories.tamu.edu/news/2026/01/07/texas-am-researchers-uncover-new-insights-into-bone-healing-challenges-for-people-with-down-syndrome/",
            "image": "https://stories.tamu.edu/wp-content/uploads/2026/01/Dr.-Lindsay-Dawson-Lab-20251031-NP-5-2400x1350.jpg",
            "publishedAt": "2026-01-07T14:46:06Z",
            "lang": "en",
            "source": {
                "id": "52e1c52f9abb199732c36b7754869bf8",
                "name": "Texas A&M Stories",
                "url": "https://stories.tamu.edu"
            }
        },
        {
            "id": "33ea4c1d49381cbcc917f5a07f697683",
            "title": "Numerical analysis of a THz sensor for atmospheric pollutant detection in agricultural areas of Hail, Saudi Arabia",
            "description": "This paper presents a terahertz (THz) gas sensor based on a planar structure consisting of three cascaded spiral resonators incorporating graphene, black phosphorus (BP), and vanadium dioxide (VO$$_2$$). The integration of these advanced two-dimensional materials enhances both sensitivity and adaptability for gas detection. The Wave Concept Iterative Process method is employed to model the interactions with various gases, and a novel implementation enables extensive simulations that exhibit excellent agreement with theoretical predictions. To further optimize performance, a machine learning model is developed to predict sensitivity based on key material parameters, including the conductivities of graphene, BP, and VO$$_2$$. The model achieves its highest predictive accuracy for ammonia (NH$$_3$$), with an R$$^2$$ of 0.991, a mean absolute error of 0.008, and a mean squared error of 0.00020 using an 80% training set. The proposed sensor exhibits sensitivities of 2.256, 2.371, 2.462, 2.413, and 2.391 THz/RIU for CH$$_4$$, N$$_2$$O, NH$$_3$$, CO$$_2$$, and H$$_2$$S, respectively. Compared to existing designs, it offers superior sensitivity, room-temperature operation, and rapid response, thereby advancing THz gas sensing technology and enabling highly sensitive and adaptable detection for practical applications.",
            "content": "Hassen, W. et al. Air pollution dispersion in Hail city: Climate and urban topography impact. Heliyon9(10), e20608 (2023).\nYan, X., Ying, Y., Li, K., Zhang, Q. & Wang, K. A review of mitigation technologies and management strategies for greenhouse ga... [7989 chars]",
            "url": "https://www.nature.com/articles/s41598-025-33470-0?error=cookies_not_supported&code=0310f1db-4f6c-41e5-9668-1ca95d8a4fcf",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-01-07T14:03:45Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        },
        {
            "id": "d5046e4a213d500fa8df08caf7712e34",
            "title": "King's College London",
            "description": "An evidence-based web-app helped children with epilepsy to fall asleep on average 16.5 minutes earlier.",
            "content": "A new UK-wide clinical trial led by the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and the Faculty of Life Sciences and Medicine at King’s College London has evaluated a self-guided behavioural sleep programme for the parents of child... [2923 chars]",
            "url": "https://www.kcl.ac.uk/news/self-guided-behavioural-app-helps-children-with-epilepsy-sleep-earlier",
            "image": "https://www.kcl.ac.uk/newimages/ioppn/cosi-app-image.xb0860734.jpg?w=780&h=520&crop=780,440,0,40",
            "publishedAt": "2026-01-07T11:32:02Z",
            "lang": "en",
            "source": {
                "id": "39158eed181eac9c635799f1e76aeaec",
                "name": "King's College London",
                "url": "https://www.kcl.ac.uk"
            }
        }
    ]
}

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