![\"\"](\"https:\/\/sci-ui.id\/wp-content\/uploads\/2026\/09\/sci-957.jpeg\")
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The prototype was developed under the supervision of Dr. (Eng) Pugoh Santoso, S.Si., M.Si., from FMIPA UI as the principal supervisor. Meanwhile, the medical aspects of the research were supervised by dr. Gatut Priyonugroho, Sp.P(K)-Onk., FISR, from FK UI as the field supervisor.<\/p>\n\n\n\n
Dr. Pugoh said that developing Deep-BioOrtho was a challenge for the students because it combines several fields of knowledge. According to him, the process encouraged the students not only to understand concepts in chemistry and computing but also to relate them to healthcare needs.<\/p>\n\n\n\n
\u201cInitially, some people doubted the idea because it was considered too complex. However, I believe that Reza and his team\u2019s dedication to developing this innovative research, in the form of the Deep-BioOrtho software prototype, to this stage can pave the way for better lung cancer treatment in Indonesia in the future,\u201d said Dr. Pugoh.<\/p>\n\n\n\n
Hafiz, who was responsible for designing the deep learning algorithm, said that artificial intelligence can help process information from medical images more efficiently. In Deep-BioOrtho, the image analysis is integrated with a bioorthogonal chemistry approach within a single software framework.<\/p>\n\n\n\n
Bioorthogonal chemistry is an approach that enables certain chemical reactions to occur specifically within living cells without interfering with normal biochemical processes. In Deep-BioOrtho, this principle is used to simulate the possibility of more targeted drug activation based on the results of lung image analysis.<\/p>\n\n\n\n <\/p>\n\n\n\n However, Deep-BioOrtho is still at the prototype stage and cannot yet be used as a diagnostic or treatment tool for lung cancer in clinical practice. The system\u2019s accuracy and safety require further research, testing, and validation.<\/p>\n\n\n\n Gatut said that the prototype still has room for further development through subsequent research.<\/p>\n\n\n\n \u201cThe software prototype developed by Reza and his team is a highly promising preliminary approach to lung cancer and can be further developed in Indonesia toward achieving the gold standard of lung cancer management and supporting the medical field,\u201d he said.<\/p>\n\n\n\n The development of Deep-BioOrtho demonstrates how FMIPA UI students are utilizing fundamental sciences, particularly chemistry and computing, to develop technologies that can be applied to healthcare challenges. Collaboration with FK UI also creates opportunities for developing science-based innovations that bring together laboratory approaches, computational methods, and medical needs.<\/p>\n\n\n\n The innovation subsequently led the Deep-BioOrtho team to compete in the 2026 National Student Scientific Week (PIMNAS). The team hopes that further development will produce a more thoroughly tested prototype to support lung cancer detection and the exploration of more precise treatment approaches.<\/p>","protected":false},"excerpt":{"rendered":" Depok, 25 September 2026 \u2014 Mahasiswa Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia (FMIPA UI) mengembangkan Deep-BioOrtho, prototipe perangkat lunak yang memadukan kecerdasan buatan dan kimia bioorthogonal untuk membantu mendeteksi potensi kanker paru sekaligus menyimulasikan kandidat pengobatan secara lebih terarah. Inovasi tersebut dikembangkan oleh lima mahasiswa Program Studi Kimia FMIPA UI melalui Program Kreativitas […]<\/p>\n","protected":false},"author":12,"featured_media":15783,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-15782","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-berita"],"blocksy_meta":[],"yoast_head":"\n![\"\"](\"https:\/\/sci-ui.id\/wp-content\/uploads\/2026\/09\/sci-958.jpeg\")
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