Uganda health News API

Supported Countries - 165

Get health headlines from Uganda with our JSON API.

Country Parameter

The country paramter for the Uganda is UG.

Some example queries:

Below is the search query to fetch random 100 news-sources of Uganda.

https://newsdata.io/api/1/sources?country=ug&apikey=YOUR_API_KEY

Some of the well known sources

Live Example

This example demonstrates the HTTP request to make, and the JSON response you will receive, when you use the News API to get health headlines from Uganda.

Health Headlines from Uganda

https://newsdata.io/api/1/latest?country=ug&category=health&apikey=YOUR_API_KEY

{
  • "status": "success",
  • "totalResults": 3,
  • -
    "results": [
    • -
      {
      • "article_id": "8a8d305b0e04bb546f8d2295f909e48c",
      • "title": "China embraces AI-assisted healthcare with caution",
      • "link": "https://www.independent.co.ug/china-embraces-ai-assisted-healthcare-with-caution/",
      • -
        "keywords": [
        • "world",
        • "ai",
        • "artificial intelligence",
        • "technology",
        • "health",
        • "tech news",
        • "china"
        ],
      • -
        "creator": [
        • "The Independent"
        ],
      • "video_url": null,
      • "description": "In November, China’s National Health Commission (NHC) and other departments jointly issued the guidelines for AI application scenarios in the health sector BEIJING | Xinhua | Imagine a hospital where you’re greeted by an intelligent robot, and artificial intelligence (AI) technology ensures you receive detailed diagnostic notes swiftly. In Wuzhen, a small town in east ...The post China embraces AI-assisted healthcare with caution appeared first on The Independent Uganda:.",
      • "content": "Imagine a hospital where you’re greeted by an intelligent robot, and artificial intelligence (AI) technology ensures you receive detailed diagnostic notes swiftly. In Wuzhen, a small town in east China’s Zhejiang Province, an AI-empowered hospital has served thousands of patients since it opened last year. With fewer than ten human doctors and a team of intelligent triage robots, the hospital is at the forefront of integrating technology into healthcare. Applying AI technology, this hospital has upgraded services such as medical examinations, chronic disease management, and rehabilitation. Local resident Zhu Weibin recently underwent an AI-based liver function test at the hospital. An automatically generated report diagnosed him with a fatty liver, with AI helping to make the diagnostic indicator of fatty liver accurate to five percent from 30 percent. “It enables me to intervene in the disease process at an earlier stage,” Zhu said. With the rapid advancement of AI technology, its applications in medical diagnosis and treatment are becoming increasingly widespread in China. An “AI hospital” model, powered by a large-scale AI system developed at a research institution, is capable of “reading” medical literature and “treating” virtual patients. This cutting-edge system evolves through self-learning and could potentially assist human doctors in real-world medical scenarios in the future. Another AI medical model developed by a team in Shanghai has successfully “passed” the national medical licensing examination. By inputting patient complaints, medical history, and physical examination results, the model can provide diagnostic support and recommendations for further treatment. Large models can process thousands of medical textbooks, enabling them to compare CT images with precision. They utilize smart monitoring beds equipped with vision and tactile sensors to issue early warnings and quickly retrieve medical records to aid in decision-making. As China looks for new solutions to the challenges posed by an aging population, growing cases of chronic illnesses, and disparities in access to medical resources, more hospitals are incorporating AI technology, benefiting both patients and medical professionals. A doctor shared a real-life case in which a child was hospitalized twice over nearly a year before experts diagnosed a rare autoimmune disease. AI, however, reached the same conclusion in just a few minutes. Despite AI’s ability to significantly improve the efficiency of image analysis, prescription review, and diagnosis, the final decision remains in the hands of the human doctor. In November, China’s National Health Commission (NHC) and other departments jointly issued the guidelines for AI application scenarios in the health sector. Covering 84 specific scenarios across categories including medical service management, primary public health services, health industry development, and medical education and research, the guidelines aim to fully leverage AI’s advantages. In this document, from assisting diagnosis and decision-making to treatment planning and surgery — the keyword “assistance” dominates AI healthcare, as AI serves to support human professionals. While this medical innovation is advancing rapidly, China has also taken steps to ensure the safety and effectiveness of AI medical applications. The National Medical Products Administration has released a set of guiding principles for the classification of AI medical software products, clarifying the criteria for managing AI medical software products. Most of the research related to AI medical devices in China focuses on medical imaging while research in decision-making algorithms remains largely undeveloped, according to You Mao, deputy director of the China National Health Development Research Center under the NHC. There is still a lack of high-quality data, and a mechanism for real-world data application also needs to be established, You suggested. Liu Hui, director of the institute of medical information at the Chinese Academy of Medical Sciences, highlighted the importance of establishing and refining scientific, reasonable regulatory policies and technical systems. These measures can ensure the safety and effectiveness of AI technology in healthcare, providing a better experience and higher-quality medical services for both patients and healthcare professionals, Liu said.",
      • "pubDate": "2024-12-26 11:00:11",
      • "pubDateTZ": "UTC",
      • "image_url": "https://www.independent.co.ug/wp-content/uploads/2024/12/AI-health-China.jpg",
      • "source_id": "independentug",
      • "source_priority": 601724,
      • "source_name": "The Independent",
      • "source_url": "https://www.independent.co.ug",
      • "source_icon": "https://i.bytvi.com/domain_icons/independentug.png",
      • "language": "english",
      • -
        "country": [
        • "uganda"
        ],
      • -
        "category": [
        • "health"
        ],
      • -
        "ai_tag": [
        • "artificial intelligence"
        ],
      • -
        "ai_region": [
        • "china,asia"
        ],
      • -
        "ai_org": [
        • "national health commission"
        ],
      • "sentiment": "neutral",
      • -
        "sentiment_stats": {},
      • "duplicate": true
      },
    • -
      {
      • "article_id": "8aa25495c60977eea91ffa7fc6b45b3f",
      • "title": "Otuke mothers using home-made composite flour to curb malnutrition",
      • "link": "https://www.independent.co.ug/otuke-mothers-using-home-make-composite-flour-to-curb-malnutrition/",
      • -
        "keywords": [
        • "news",
        • "malnutrition",
        • "health",
        • "otuke"
        ],
      • -
        "creator": [
        • "The Independent"
        ],
      • "video_url": null,
      • "description": "Otuke, Uganda | THE INDEPENDENT | A group of mothers in Otuke district have discovered an easy- cost-effective method of treating malnutrition in children. The women make their composite flour by mixing different flours from fruits like pawpaw and oranges, and crops such as maize, millet, soya beans, cassava and orange- flesh sweet potatoes, and silverfish. The ...The post Otuke mothers using home-made composite flour to curb malnutrition appeared first on The Independent Uganda:.",
      • "content": "A group of mothers in Otuke district have discovered an easy- cost-effective method of treating malnutrition in children. The women make their composite flour by mixing different flours from fruits like pawpaw and oranges, and crops such as maize, millet, soya beans, cassava and orange- flesh sweet potatoes, and silverfish. The mixture is then fed to the children in the form of porridge. Otuke is one of the districts in Northern Uganda with acute malnutrition levels. It has been classified as an “Alert” district for acute malnutrition, meaning more than 1 in 20 children in the area are affected. The major factors contributing to acute malnutrition include inadequate quality and quantity of food, food insecurity, poor hygiene practices, and high rates of malaria. In Aweayela parish in the Alango sub-county, there are three children with cases of malnutrition. The children are currently being treated with the homemade remedy. Christine Awino, a resident of the area lived with her daughter for over 8 months without the knowledge that her child was malnourished although she was abnormally small. It took the intervention of a Village Health Team member to diagnose the child with malnutrition and introduce the mother to the group. Awino says her child’s condition has greatly improved after feeding her the mixture. Henry Olap, the chairperson of VHTs in Aweayela parish explained that the composite flour has been the best remedy to malnutrition in his area. Jackline Namusalisi, the Technical Coordinator for nutrition-sensitive agriculture at Sasakawa Africa Association (SAA) explained that the organization has been working with families with malnourished children and expectant women to grow bio-fortified foods which is essential for their health. Sasakawa has identified a home where mothers who cannot on their own make composite flours for their malnourished children can buy. The same home acts as a referral to the health facility in case of an emergency. Margaret Akullo, who owns a model home in Otuke district is reaping big from the sale of composite flour which is made and sold to mothers with malnourished children. Her home is dotted with vegetables and fruits including watermelon. Statistics show that stunting in children under five reduced by 10 percent from 29 percent in 2016 to 26 percent in 2022, and there was a 27.5% decline in wasting among children under five from 4% in 2016 to 2.9% in 2022. **** URN",
      • "pubDate": "2024-12-26 09:00:16",
      • "pubDateTZ": "UTC",
      • "image_url": "https://www.independent.co.ug/wp-content/uploads/2020/10/food-nutrition-malnutrition.jpg",
      • "source_id": "independentug",
      • "source_priority": 601724,
      • "source_name": "The Independent",
      • "source_url": "https://www.independent.co.ug",
      • "source_icon": "https://i.bytvi.com/domain_icons/independentug.png",
      • "language": "english",
      • -
        "country": [
        • "uganda"
        ],
      • -
        "category": [
        • "health"
        ],
      • -
        "ai_tag": [
        • "health and fitness"
        ],
      • -
        "ai_region": [
        • "otuke",
        • "uganda,africa"
        ],
      • "ai_org": null,
      • "sentiment": "neutral",
      • -
        "sentiment_stats": {},
      • "duplicate": false
      },
    • -
      {
      • "article_id": "5e5c617ae6204abdafa07d579e444c6b",
      • "title": "African men most at risk of prostate cancer",
      • "link": "https://www.independent.co.ug/african-men-most-at-risk-of-prostate-cancer/",
      • -
        "keywords": [
        • "in the magazine",
        • "interview",
        • "africa",
        • "cancer",
        • "wenlong carl chen",
        • "health",
        • "prostate",
        • "men"
        ],
      • -
        "creator": [
        • "The Independent"
        ],
      • "video_url": null,
      • "description": "ANALYSIS | A new breakthrough study has identified the genetic risk factors that contribute to increased prostate cancer in African men. The study, the largest of its kind, recruited 7,500 men from eastern, southern and west Africa. Medical scientist Wenlong Carl Chen explains why the findings are significant and the promise they hold for future treatment ...The post African men most at risk of prostate cancer appeared first on The Independent Uganda:.",
      • "content": "ANALYSIS Wenlong Carl Chen Prostate cancer disproportionately affects men of African descent. Studies from the U.S. and African countries report a higher occurrence of prostate cancer in men of African ancestry when compared with men of other ancestries. Men of African and African Caribbean ancestry were also found to be at higher risk of developing a more aggressive form of prostate cancer and of developing it at a younger age when compared with men of European ancestry. Prostate cancer also accounts for nearly one-quarter of all cancer cases diagnosed in Africa. Our study aimed at uncovering aspects of genetic architecture of prostate cancer that were specific to men of African descent. In other words, we wanted to understand what it is about African men’s genetic makeup that puts them at higher risk for prostate cancer. Evidence emerging in the literature suggests that genetic risk factors significantly contribute to the development of prostate cancer. Genetic risks can be put into two groups: Hereditary risk factors or germline mutations: There are rare genetic mutations in genes, such as BRCA1 and BRCA2 that have been linked to increased risks for developing cancers. Mutations in BRCA2 particularly are linked to higher risks of developing more aggressive prostate cancer. Single nucleotide polymorphisms or variants: These are common genetic variants that are linked to increased disease risk. Each variant by itself confers a very small increase in risk. But several variants combined may raise the risk profiles for a disease. In this study, we assessed the risk contributed by inherited genetic variants to prostate cancer. Despite the high burden of disease, genetic studies of prostate cancer in continental African populations are limited. The technology needed for these studies is typically very expensive and requires specialised instruments which are very scarce in Africa. To better understand the genetic causes of disease, we needed to study diverse populations, particularly African populations. African populations have much higher genetic diversity when compared with other populations. As the place of origin of Homo sapiens, the African population is much older than other populations and has therefore had more time to accumulate genetic variations. Ours is the largest study to date to investigate the ancestry-specific genetic architectures and disease associations for prostate cancer across multiple regions in sub-Saharan Africa. Numerous studies like this have been conducted worldwide. But participation from Africa, both in terms of researchers and study participants, is very low. Our consortium, the Men of African Descent, Carcinoma of the Prostate (MADCaP), was formed in 2016. Hospitals and universities in five African countries – Nigeria, Ghana, Senegal, Uganda and South Africa – partnered with several US-based universities to form the consortium. The U.S. National Institute of Health provided funding. The African centres enrolled men with newly diagnosed prostate cancer and, as controls, men of the same population groups who did not have cancer. Demographic, social, economic, and clinical information and bio-samples were collected from the participants. Our study consisted of 3,963 prostate cancer cases and 3,509 controls. Most bio-sample processing and genotyping was performed in Africa, using a custom genotyping array. A “genotyping array” provides information on hundreds of thousands of DNA variants. This specific one was designed and optimised to capture African genetic variations. We identified three loci (genetic regions) with a strong association with increased prostate cancer incidence. The lead signals within these loci were common in African populations but were almost absent in non-African populations. Although these three loci were previously found in other populations, our signals within these loci are unique to African populations. They would not have been found if we had not studied African populations. There are also differences within Africa. The genetic parts that contribute to prostate cancer risk differ by geographical population. It is crucial to study diseases in populations with the highest disease burden. Our findings highlight the importance of studying the possible causes of disease in diverse populations. We found novel associations by studying the genetics of prostate cancer across Africa. These signals would not have been found in studies done outside Africa. The genetic diversity of African populations further allowed us to fine-map the regions of associations to better understand what’s driving the signals. Our findings pave the way for the development of genetic tools that could grade people by their degree of risk. Another example of this was a 2019 study published in the American Journal of Human Genetics which used genetics to predict the risk of breast cancer. Women placed in higher risk groups would become eligible to enter the UK breast cancer screening programme at a much earlier age.The results from our study will lay the foundation for the development and implementation of similar tools in an African setting.",
      • "pubDate": "2024-12-26 07:00:18",
      • "pubDateTZ": "UTC",
      • "image_url": "https://www.independent.co.ug/wp-content/uploads/2024/12/PROSTATE-C.jpg",
      • "source_id": "independentug",
      • "source_priority": 601724,
      • "source_name": "The Independent",
      • "source_url": "https://www.independent.co.ug",
      • "source_icon": "https://i.bytvi.com/domain_icons/independentug.png",
      • "language": "english",
      • -
        "country": [
        • "uganda"
        ],
      • -
        "category": [
        • "health"
        ],
      • -
        "ai_tag": [
        • "diseases"
        ],
      • "ai_region": null,
      • "ai_org": null,
      • "sentiment": "neutral",
      • -
        "sentiment_stats": {},
      • "duplicate": false
      }
    ],
  • "nextPage": null
}

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