Namibia Health News API

{
    "totalArticles": 1365,
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        {
            "id": "5d799f52435024e9c34c057be25be64c",
            "title": "Study Explores Use of Digital Tools to Support Home",
            "description": "A recent study has examined the potential benefits of i […]",
            "content": "Study Explores Use of Digital Tools to Support Home-Based Recovery for Seniors After Hip Surgery\nA recent study has examined the potential benefits of integrating technology into rehabilitation programs for older adults recovering from total hip arth... [1178 chars]",
            "url": "https://www.geneonline.com/study-explores-use-of-digital-tools-to-support-home-based-recovery-for-seniors-after-hip-surgery/",
            "image": "https://www.geneonline.com/wp-content/uploads/EN_NEWSFLASH_5-1.png",
            "publishedAt": "2026-01-25T09:33:36Z",
            "lang": "en",
            "source": {
                "id": "e5376462a7128acdb762718aa2daf90e",
                "name": "geneonline.com",
                "url": "https://www.geneonline.com"
            }
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        {
            "id": "4e52716e1fd4de6b92aab6b1b3f499b2",
            "title": "Bryan Bryson: Engineering solutions to the tough problem of tuberculosis",
            "description": "By analyzing how Myobacterium tuberculosis interacts with the immune system, MIT Professor Bryan Bryson hopes to find new vaccine targets that could help eliminate tuberculosis.",
            "content": "On his desk, Bryan Bryson ’07, PhD ’13 still has the notes he used for the talk he gave at MIT when he interviewed for a faculty position in biological engineering. On that sheet, he outlined the main question he wanted to address in his lab: How do ... [8144 chars]",
            "url": "https://news.mit.edu/2026/bryan-bryson-engineering-solutions-tough-problem-tuberculosis-0125",
            "image": "https://news.mit.edu/sites/default/files/images/202601/MIT-Bryan-Bryson-01-press.jpg",
            "publishedAt": "2026-01-25T05:00:00Z",
            "lang": "en",
            "source": {
                "id": "e6d0a859abd0707cb2c26ce72630b38b",
                "name": "MIT News",
                "url": "https://news.mit.edu"
            }
        },
        {
            "id": "c93465da43c5a86db2a5c78f99bce61f",
            "title": "AI identifies behavioral traits that predict alcohol preference during adolescence",
            "description": "A new study using machine learning reveals that adolescent mice with a sweet tooth and lower sociability are more likely to prefer alcohol. Interestingly, these behavioral patterns did not predict alcohol preference in adult mice.",
            "content": "A new study utilizing artificial intelligence has identified specific behavioral patterns that predict alcohol preference in adolescent mice. The findings indicate that sensitivity to natural rewards and lower levels of sociability are strong indicat... [8246 chars]",
            "url": "https://www.psypost.org/ai-identifies-behavioral-traits-that-predict-alcohol-preference-during-adolescent/",
            "image": "https://www.psypost.org/wp-content/uploads/2026/01/neurons-neurotransmitters.jpg",
            "publishedAt": "2026-01-24T23:07:21Z",
            "lang": "en",
            "source": {
                "id": "903c7fdd47f4c6635a51a373c74eece7",
                "name": "PsyPost",
                "url": "https://www.psypost.org"
            }
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}