Хайлтын үр дүнгүүд - Richard K. D. Ephraim
- 7-н 1 - 7 үр дүнгүүдийг харуулж байна
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High prevalence of hepatitis B and poor knowledge on hepatitis B and C viral infections among barbers: a cross-sectional study of the Obuasi municipality, Ghana -н Prince Adoba, Stephen Kyei Boadu, Hope Agbodzakey, Daniel Somuah, Richard K. D. Ephraim, Enoch Anto Odame
Хэвлэсэн 2015Artigo -
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Association between adverse pregnancy outcome and imbalance in angiogenic regulators and oxidative stress biomarkers in gestational hypertension and preeclampsia -н Cornelius Archer Turpin, Samuel Asamoah Sakyi, William K. B. A. Owiredu, Richard K. D. Ephraim, Enoch Odame Anto
Хэвлэсэн 2015Artigo -
3
Serum calcium and magnesium levels in women presenting with pre-eclampsia and pregnancy-induced hypertension: a case–control study in the Cape Coast metropolis, Ghana -н Richard K. D. Ephraim, Derick Nii Mensah Osakunor, Seth Wiredu Denkyira, Henrietta Eshun, Samuel Amoah, Enoch Odame Anto
Хэвлэсэн 2014Artigo -
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Diagnosis of Schistosoma haematobium Infection with a Mobile Phone-Mounted Foldscope and a Reversed-Lens CellScope in Ghana -н Richard K. D. Ephraim, Evans Duah, James S. Cybulski, Manu Prakash, Michael V. D’Ambrosio, Daniel A. Fletcher, Jennifer Keiser, Jason R. Andrews, Isaac I. Bogoch
Хэвлэсэн 2015Artigo -
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Comparative Assessment of Knowledge, Attitudes, and Practice of Breast Self-Examination among Female Secondary and Tertiary School Students in Ghana -н Linda Ahenkorah Fondjo, Osei Owusu‐Afriyie, Samuel Asamoah Sakyi, Akua Addo Wiafe, Bright Amankwaa, Emmanuel Acheampong, Richard K. D. Ephraim, William K. B. A. Owiredu
Хэвлэсэн 2018Artigo
Хайх хэрэгслүүд:
Холбогдох сэдвүүд
Medicine
Biology
Internal medicine
Computer science
Immunology
Archaeology
Chemistry
Genetics
Gynecology
Helminths
Mobile phone
Obstetrics
Pathology
Preeclampsia
Pregnancy
Reproductive medicine
Schistosoma haematobium
Schistosomiasis
Telecommunications
Biochemistry
Biomarker
Biostatistics
Breast cancer
Breast self-examination
Business
Calcium
Cancer
Cape
Chromatography
Computer vision