{
    "success": true,
    "data": {
        "id": 1701593,
        "msgid": "ai-for-cervical-cancer-detection-unm-phd-student-secures-prestigious-2026-grant-1777197081",
        "date": "2026-04-26 15:46:33",
        "title": "AI for Cervical Cancer Detection: UNM PhD Student Secures Prestigious 2026 Grant",
        "author": "Ferry kisihandi",
        "source": "REPUBLIKA",
        "tags": "",
        "topic": "Technology",
        "summary": "A PhD student at Universitas Nusa Mandiri (UNM), Esron Rikardo Nainggolan, has secured competitive funding for his dissertation research on an AI-based solution to enhance early detection of cervical cancer using segmentation-free convolutional neural networks and feature interpretation techniques. The project addresses the urgent need for faster, more accurate, and interpretable diagnostic methods, potentially transforming digital health services in Indonesia. Guided by UNM's rector and faculty, this achievement underscores the university's commitment to impactful AI innovations with real-world applications in healthcare.",
        "content": "<p>Universitas Nusa Mandiri (UNM), as a Digital Business Campus, has\nonce again affirmed its role in innovative technology-based research.\nThis time, a proud achievement comes from the Informatics Doctoral\nProgramme, where one of its students, Esron Rikardo Nainggolan, M.Kom,\nhas secured funding for the Current Year Doctoral Dissertation Research\nGrant. This competitive grant was obtained through a proposal titled\n\u201cIntegration of Segmentation-Free Convolutional Neural Networks and\nFeature Interpretation for Classification of Whole Slide Image Cervical\nCytology\u201d, which presents an artificial intelligence (AI)-based solution\nto improve the accuracy of early cervical cancer detection. The research\nis driven by the urgent need for faster, more accurate, and easily\ninterpretable diagnostic methods for medical personnel. Using a\nSegmentation-Free Convolutional Neural Networks (CNN) approach combined\nwith feature interpretation techniques, Esron offers an innovation that\navoids complex image segmentation processes while enhancing the\ntransparency of analysis results. The research is supervised by UNM\nRector Prof Dr Dwiza Riana along with Dr Nita Merlina, who guide the\ndevelopment to ensure scientific contributions as well as tangible\nimpacts in the field of digital health. Prof Dwiza expressed her\nappreciation. \u201cThis success demonstrates that AI-based research\ndeveloped at UNM is capable of addressing real societal problems. We\ncontinue to encourage the birth of innovations that are not only\nacademically excellent but also applicable and have broad impacts,\u201d she\nstated in a comment quoted on Sunday (26\/4\/2026). Meanwhile, Esron\nrevealed that this research is a strategic step to support\ntechnology-based health service transformation. \u201cThrough this research,\nI aim to present a cervical cancer detection solution that is faster,\nmore accurate, and easy for medical personnel to use, thereby helping to\nimprove the quality of diagnosis and patient care,\u201d he explained. The\nresearch is conducted in the academic environment of UNM with support\nfrom research facilities and strong scientific collaborations. Its final\nresults are expected to be implemented in digital health systems and\neven potentially developed into applications that support medical\npersonnel in the field. This achievement further strengthens UNM\u2019s\nposition as an institution consistently promoting leading research in\nthe field of technology, particularly AI in the health sector.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/ai-for-cervical-cancer-detection-unm-phd-student-secures-prestigious-2026-grant-1777197081",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}