{
    "success": true,
    "data": {
        "id": 1720984,
        "msgid": "ready-to-strengthen-medical-diagnosis-unm-students-ai-research-for-cervical-cancer-detection-wins-national-1778054957",
        "date": "2026-05-06 12:24:02",
        "title": "Ready to Strengthen Medical Diagnosis: UNM Student's AI Research for Cervical Cancer Detection Wins National Grant 2026",
        "author": "Ferry kisihandi",
        "source": "REPUBLIKA",
        "tags": "",
        "topic": "Technology",
        "summary": "A doctoral student at Universitas Nusa Mandiri (UNM), Esron Rikardo Nainggolan, has secured a national dissertation research grant for 2026 for his innovative AI-based project aimed at enhancing early detection of cervical cancer through advanced image analysis. The research integrates segmentation-free convolutional neural networks with feature interpretation to improve accuracy, efficiency, and interpretability for medical professionals, addressing the need for faster and more reliable diagnostic tools. This achievement underscores UNM's commitment to impactful digital health innovations, potentially contributing to national healthcare advancements in the era of digital transformation.",
        "content": "<p>Universitas Nusa Mandiri (UNM), as a Digital Business Campus,\ncontinues to demonstrate its commitment to developing innovative\ntechnology-based research. This proud achievement comes from the\nInformatics Doctoral Programme, where student Esron Rikardo Nainggolan,\nM.Kom, has successfully obtained funding through the 2026 Doctoral\nDissertation Research Grant (PDD). The grant was awarded for a research\nproposal titled \u201cIntegration of Segmentation-Free Convolutional Neural\nNetworks and Feature Interpretation for Classification of Whole Slide\nImages in Cervical Cytology\u201d. This research focuses on developing\nArtificial Intelligence (AI) technology to enhance accuracy and\nefficiency in the early detection of cervical cancer through medical\nimage analysis. The study is motivated by the need for faster, more\naccurate diagnostic methods that can be well interpreted by medical\npersonnel. Using a segmentation-free approach, the developed model\nsimplifies the analysis process without complex image segmentation\nstages while maintaining high accuracy levels. Additionally, the\nembedded interpretation features make the analysis results easier for\ndoctors and healthcare workers to understand. In its implementation,\nEsron is supervised by Prof Dr Dwiza Riana and Dr Nita Merlina, who\nguide the research to ensure it has both scientific contributions and\npractical impacts in the field of digital health. UNM\u2019s Vice Rector I\nfor Academic Affairs, Dr Nita Merlina, praised this achievement as\nevidence of the quality of UNM\u2019s doctoral student research. \u201cThis\nsuccess shows that research at UNM is capable of addressing real\nsocietal challenges. We encourage students to produce innovations that\nare not only academically strong but also applicable and have broad\nimpacts,\u201d she stated in a press release on Wednesday (6\/5\/2026). Esron\nhopes his research will make a real contribution to the medical world.\n\u201cI developed this research to help medical personnel detect cervical\ncancer earlier with fast, accurate, and easily interpretable results,\nthereby improving patient care quality,\u201d he explained. This success is\nnot only an individual achievement but also reflects the strength of the\nresearch ecosystem at UNM. Support for facilities, academic mentoring,\nand collaboration with experts are key factors in producing competitive\nresearch at the national level. UNM remains committed to promoting\ntechnology-based research, particularly in artificial intelligence and\ndigital health. The results of this research are expected to be further\ndeveloped to the implementation stage, including integration into\nmedical decision support systems. With this achievement, UNM is\noptimistic about continuing to produce innovations that contribute not\nonly to the academic world but also provide real impacts for society and\nnational development in the digital transformation era.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/ready-to-strengthen-medical-diagnosis-unm-students-ai-research-for-cervical-cancer-detection-wins-national-1778054957",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}