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DC Field | Value | Language |
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dc.contributor.author | Tanzil, Theophanie Scholastica | - |
dc.date.accessioned | 2025-02-25T03:43:48Z | - |
dc.date.available | 2025-02-25T03:43:48Z | - |
dc.date.issued | 2024-09-01 | - |
dc.identifier.uri | http://repository.i3l.ac.id/jspui/handle/123456789/1082 | - |
dc.description.abstract | The healthcare industry has undergone a remarkable transformation in recent years due to technological advancements and digitalization. To address the need for accessible genomic healthcare information, GNOMED (Genomics Education) has been developed, a web application empowering patients with comprehensive reports from authorized genomic experts. Utilizing a rapid application development (RAD) methodology, GNOMED leverages React for server-side rendering and Next.js for efficient app routing. This technological approach ensures swift delivery of initial HTML content, significantly reducing loading times and enhancing user interaction. GNOMED offers personalized follow-up recommendations tailored to each patient's genomic profile from the healthcare professionals, focusing on surveillance, prevention, and intervention strategies. This personalized service empowers patients with relevant and timely information, promoting informed decision-making. GNOMED exemplifies cutting-edge digital healthcare solutions, improving patient access to genomic services and keeping professionals updated on the latest field advancements. Through innovative technology, GNOMED promises to enhance patient outcomes and streamline healthcare processes, marking a significant step forward in the digitization of healthcare. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Indonesia International Institute for life science | en_US |
dc.relation.ispartofseries | BI 24-005;T202409012 | - |
dc.subject | genomics healthcare | en_US |
dc.subject | web application | en_US |
dc.subject | personalized medicine | en_US |
dc.subject | rapid application | en_US |
dc.title | Development of a Digital Genomic Advisor using React and Next.js Frameworks to Support Cancer Patients | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Bioinformatics |
Files in This Item:
File | Description | Size | Format | |
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Theophanie Scholastica Tanzil.pdf Restricted Access | Full text | 4.37 MB | Adobe PDF | View/Open Request a copy |
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