Schistosomiasis
What's New
Last Posted: Dec 09, 2022
- [Current status and prospects of artificial intelligence in schistosomiasis prevention and control].
Li Z A et al. Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control 2022 34(5) 453-457 - [Progress of researches on medical big data analytics technology].
Du Z C et al. Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control 2022 34(5) 465-468 - Performance Evaluation of the Schistoscope 5.0 for (Semi-)automated Digital Detection and Quantification of Schistosoma haematobium Eggs in Urine: A Field-based Study in Nigeria.
Meulah Brice et al. The American journal of tropical medicine and hygiene 2022 - Application of kNN and SVM to predict the prognosis of advanced schistosomiasis.
Zhou Xiaorong et al. Parasitology research 2022 - Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings.
Oyibo Prosper et al. Micromachines 2022 13(5) - Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning: a newly data-driven modeling attempt.
Gong Yan-Feng et al. Infectious diseases of poverty 2021 10(1) 88 - Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis.
Jiang Honglin et al. International journal for parasitology 2021 - Epidemiological big data and analytical tools applied in the control programmes on parasitic diseases in China: NIPD's sustained contributions in 70 years.
Xia Shang et al. Advances in parasitology 2020 110319-347 - Schistosomiasis Infection
- Using Genomics to Fight Deadly Parasitic Disease
Frontline Genetics, May 17, 2017 - Whole genome analysis of a schistosomiasis-transmitting freshwater snail
CM adema et al, Nature Communications, May 2017 - Accelerated evolution of schistosome genes coding for proteins located at the host-parasite interface.
Philippsen Gisele S et al. Genome Biol Evol 2015 Feb (2) 431-43 - Deciphering the glycogenome of schistosomes.
Mickum Megan L et al. Front Genet 2014 262 - Epigenetic control of gene function in schistosomes: a source of therapeutic targets?
Cabezas-Cruz Alejandro et al. Front Genet 2014 317 - Gene suppression in schistosomes using RNAi.
Da'dara Akram A et al. Methods Mol. Biol. 2015 143-64 - Genome mining offers a new starting point for parasitology research.
Lv Zhiyue et al. Parasitol. Res. 2015 Feb (2) 399-409 - It's All about Those Bases: The Need for Incorporating Parasite Genetic Heterogeneity into the Development of Schistosome Vaccines
Alyssa M. Gleichsner, PLoS Neglected Tropical Diseases, June 2015 - New research tools for urogenital schistosomiasis.
Rinaldi Gabriel et al. J. Infect. Dis. 2015 Mar 15. (6) 861-9 - NIH Information: Schistosomiasis Resource Center
- Prospects for Vector-Based Gene Silencing to Explore Immunobiological Features of Schistosoma mansoni.
Hagen Jana et al. Adv. Parasitol. 2015 Apr 85-122
More
About Rare Diseases PHGKB
Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 01, 2024
- Content source: