Pesticide residues in three fishing sites in Burkina Faso.

Pesticides control pests and diseases in crops in order to enhance agricultural productivity; however, they are responsible for damaging aquatic resources. This study aimed to assess pesticide residues in aquatic ecosystems in Burkina Faso. Data were collected in two sampling sites: Bama and Banzon.

Supplementation of laying hens' feed with Schizochytrium powder and its effect on physical and chemical properties of eggs.

Biofortification enhances dietary quality and nutritional value using traditional marine microalga species, particularly docosahexaenoic acid (DHA), which is an essential n-3 fatty acid for human health. Eggs are natural fortified candidates. This study aimed to investigate the effect of dietary Schizochytrium powder on egg productivity, egg nutritional content, and fatty acid levels in laying hens.

Health and eHealth Literacy of Patients With Diabetes in Low-Income Countries: Perspective From Guinea and Burkina Faso.

Background: Diabetes is a significant health concern in sub-Saharan Africa, emphasizing the importance of assessing the health literacy and eHealth skills of hospitalized patients with diabetes. This study evaluated the health literacy and eHealth literacy of patients with diabetes at Donka Hospital in Guinea and Sanou Sourou Hospital in Burkina Faso, providing insights for targeted interventions and mobile health (mHealth) solutions to improve self-management and treatment outcomes.

Objective: The aim of this study is to evaluate the levels of health literacy and eHealth literacy among patients at Sanou Sourou Hospital in Burkina Faso and Donka Hospital in Guinea.

Development of an AI Platform for Advanced Breast Cancer Management.

This article explores the transition from a traditional histopathological examination system to an innovative platform using artificial intelligence (AI) for breast cancer detection from histopathological images in Burkina Faso. The existing system is analyzed in detail, highlighting the steps of querying, sample preparation, analysis by the pathologist, and validation by the physician. From this analysis, the needs and challenges are identified, emphasizing the opportunities for AI to improve the efficiency and accuracy of the diagnosis.

Factors associated with positive human papillomavirus (HPV) test results in cervical precancer screening: a cross-sectional study at Souro Sanou National Teaching Hospital (SSNTH) in Bobo Dioulasso, Burkina Faso.

Introduction: Human papilloma virus testing is a new method of screening for precancerous cervical lesions. Here we identified factors associated to the positive Human papilloma virus-testing in the context of cervical precancer screening at the Souro Sanou National Teaching Hospital in Burkina Faso.

Materials And Method: Conducted from June 2021-May 2022, this was a cross-sectional study, including patients aged between 25 and 55 years-old and screened for precancerous lesions and received HPV-testing at the Department of Gynecology, Obstetrics and Reproductive Medicine (DGORM) of the SSNTH.

Phytochemical investigation of Chrysanthellum americanum Vatke and its constituents- a targeted approach for the treatment of leishmaniasis.

The present study is focused on the isolation and identification of new therapeutic candidates from Chrysanthellum americanum Vatke., and their efficacy against pteridine reductase-1 (PTR1), a valid chemotherapeutic target in the Leishmania parasite. Henceforth, a new compound, chrysanamerine (1), along with 7 known compounds, polyacetylene 2, and flavonoids 3-8, were isolated from C.

Towards a Chatbot for Medical Diagnosis Based on Patient Symptoms.

The advent of artificial intelligence has positively transformed many areas of our lives, including the medical field. In this article, we propose the development of a medical diagnosis chatbot based on patients' symptoms, using artificial intelligence as an innovative solution. The aim of this tool is to provide doctors with a preliminary diagnosis based on the symptoms presented by patients.

Comparative Analysis of Artificial Intelligence Algorithms for Breast Cancer Detection from Pathological Image in Burkina Faso.

Artificial Intelligence (AI) has revolutionized many fields, including medical imaging. This revolution has enabled the digitization of medical images, the development of algorithms allowing the use of data captured in natural language, and deep learning, enabling the development of algorithms for automatic processing of medical images from massive medical data. In Burkina Faso, early and accurate detection of breast cancer is a significant challenge due to limited resources and lack of specialized expertise.

Artificial Intelligence System for Automated Breast Cancer Detection in Pathology in Burkina Faso: Methodology Overview.

The introduction of artificial intelligence (AI) in breast cancer diagnosis in Burkina Faso represents a significant advancement in the field of healthcare. Faced with the public health issue posed by breast cancer, this study focuses on the use of AI to improve early and accurate detection of this disease from histopathological images. For the implementation of the system, we utilized a customized architecture tailored to our context where image quality is low, based on the convolutional neural networks algorithm from the Keras library of TensorFlow.

Design and Integration of an Intelligent Agent to a Telemedicine Platform, for the Translation of Exchanges Between Doctor and Patient During Teleconsultation: Methodology of Design and Technological Choices.

After having designed and implemented a telemedicine solution equipped with a video presence tool for teleconsultation and tele-expertise and in order to obtain a faithful communication between healthcare professional and patient despite language differences, our study was to perform a literary review on the various existing works and to perform analysis on the different types of neural network for designing an voice intelligent agent for translation during exchanges between doctor and patient during teleconsultation and make tool choices for its development.

Improving Health Information Systems Data Quality in Sub-Saharan Africa.

Data quality in health information systems (HIS) is essential for informed decision-making in the health sector, particularly in sub-Saharan Africa (SSA) where these systems face many challenges like resource limitations and weak infrastructure. This systematic review assessed the quality of HIS data in the region, focusing on the dimensions, and factors influencing this quality. It highlights the importance of systematic evaluation, ongoing training for data collectors in the analysis and use of data for decision-making, and the adoption of information and communication technologies in the healthcare system to improve data quality.

Advancing CPR Training with Virtual Reality: A Review.

This literature review assesses the effectiveness of virtual reality (VR) serious games in cardiopulmonary resuscitation training, focusing on its impact on skill acquisition, confidence, and knowledge retention.

Hyperimmune malarial splenomegaly in a malaria-endemic area of southwest Burkina Faso: case of Bobo-Dioulasso.

Introduction: Hyperreactive malarial splenomegaly (HMS) is one of the main causes of massive splenomegaly in malaria-endemic zones. Diagnosis is often challenging in Bobo-Dioulasso. This study aimed to describe the clinical and socio-demographic profile, and the reasons for delay in the diagnosis of HMS cases recorded in the Medicine and Medical Specialties wards of Souro Sanou Teaching hospital.

Insecticidal Activities of Fresen Extracts and Feeding Behavior of Rondani: Electropenetrography Approach.

The aphid, Rondani (Hemiptera: Aphididae), is one of the most destructive pests of wheat. It is responsible for significant economic losses in the agricultural sector, with an estimated 45% of wheat fields affected. Plant-based insecticides have seen a rapid increase in popularity in recent years due to their efficacy, cost-effectiveness, biodegradability, and lower toxicity compared to synthetic pesticides.

Research on Moringa ( Lam.) in Africa.

While Lam. is gaining importance in Africa, especially sub-Saharan Africa, it is unclear whether research is following the quick pace of its development on the continent. Therefore, this article analyzes the landscape of research dealing with moringa in Africa.

Current status of digital health interventions in the health system in Burkina Faso.

Background: Digital health is being used as an accelerator to improve the traditional healthcare system, aiding countries in achieving their sustainable development goals. Burkina Faso aims to harmonize its digital health interventions to guide its digital health strategy for the coming years. The current assessment represents upstream work to steer the development of this strategic plan.

Unusual Intra-Thyroid Migration of Ingested Fish Bone: A Case Report and Literature Review.

Trans-esophageal migration of foreign bodies is a rare but serious complication of vulnerable foreign bodies. This clinical case is about a 37-year-old female patient, with a history of foreign body ingestion eight (08) months ago, received for anterior cervical swelling evolving since about seven (07) months ago. The diagnosis of thyroid nodule was evoked on clinical examination and explored by neck ultrasound which confirmed the thyroid nodule and highlighted the presence of an intra-thyroid fish bone.

Antiseizure Activity of in the Pentylenetetrazol-Induced Seizure Model in Mice: Involvement of Flavonoids and Alkaloids.

Objective: This study aimed to investigate whether Otto Kuntze organic and aqueous extracts are able to control seizures induced by pentylenetetrazol (PTZ) in mice based on flavonoid fingerprints and alkaloidal contents.

Materials And Methods: Ethanolic extract and decoction-derived fractions from roots, leaves, and stems were subjected to chromatographic fingerprinting using AlCl and screening for their antiseizure effects using PTZ-induced acute seizure model. From the fractions that showed potent bioactivities, plausible antiseizure alkaloids were isolated using thin layer chromatography, and their structures were elucidated using H NMR, 2D NMR, C NMR, and FAB-HR ( or ).