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Pengetahuan Dan Perilaku Mahasiswi Fakultas Kedokteran dan Farmasi Universitas Cenderawasih Dalam Upaya Pencegahan Kanker Serviks Elsye Gunawan; Gerson Andrew Warnares
PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia) Jurnal Pharmacy, Vol. 15 No. 01 Juli 2018
Publisher : Pharmacy Faculty, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (872.199 KB) | DOI: 10.30595/pharmacy.v15i1.2362

Abstract

The Study of Global Burden of Diseaase Cancer Collaboration shown In 2015, there were 17.5 million cancer cases worldwide and 8.7 million deaths. Aims of this research to find out the knowledge level and behavior the female students of medicine and pharmacy Uncen in efforts prevention of cervical cancer. This research is non experimental research which is analyzed descriptively. Cross sectionel design where data collection was done only one and data collection in August 2017 by survey method and questionnaire as research instrument. The location of the research was done in the faculty of medicine and program study of pharmacy Cenderawasih University. The results obtained from this study were total of 359 female students, age 22 respondents (23.12%), unmarried 98.89%, respondents from jayapura, living with parents, often discussing with family, especially mother, and they talked about reproductive health. the most respondents get information about cervical cancer prevention from lecturer's subjects that is 63,79%, electronic media 57,94% and 55,99% get information from print media. The conclusion of this research is the level of female student knowledge about cervical cancer, cervical cancer prevention and cervical cancer prevention behavior of female students of Faculty of Medicine and Pharmacy study program of Cenderawasih University is considered good.
Analisis Genom untuk Identifikasi Penyakit Langka di Indonesia Dedy Arisjulyanto; Gerson Andrew Warnares
Journal of New Trends in Sciences Vol. 1 No. 2 (2023): Mei: Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i2.774

Abstract

Rare diseases present a significant challenge in diagnosis due to their low prevalence and the limited awareness among healthcare professionals. The emergence of genomic technologies, particularly Next-Generation Sequencing (NGS), has revolutionized the diagnosis of rare diseases by enabling the identification of genetic variations associated with these conditions. This technology offers improved accuracy and speed compared to traditional clinical diagnostic methods, which are often time-consuming and insufficient for rare genetic conditions. This study explores the application of genomic technology in identifying rare diseases in Indonesia, highlighting its effectiveness, accuracy, and the challenges involved in its implementation. The research employed genomic testing techniques, including whole-genome sequencing (WGS), to identify genetic mutations associated with rare diseases in patients. The findings of the study demonstrate that genomic technology significantly reduces the time required for diagnosis, providing a more comprehensive understanding of the genetic conditions. Diseases such as Diphyllobothriasis and Sparganosis, which are rarely diagnosed through traditional clinical methods, were successfully identified using genomic technologies. However, challenges persist in the implementation of genomic technology in Indonesia, including limited infrastructure, high costs, and a lack of specialized training for healthcare professionals. Despite these barriers, the findings underscore the potential of genomic technologies to improve the diagnosis and management of rare diseases in Indonesia. The study concludes by recommending further investments in infrastructure, the training of healthcare professionals, and the development of supportive policies to facilitate the widespread adoption of genomic technologies in the healthcare system, particularly for the diagnosis of rare diseases.