Kamoga Ronald
ID: UNCST-2019-R001524
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VAGUS NERVE STIMULATION IN A RAT MODEL OF ALZHEIMER’S DISEASE-LIKE SYMPTOMS: MORPHOLOGICAL, IMMUNOHISTOCHEMICAL, MOLECULAR AND BEHAVIORAL CHANGES
REFNo: HS3781ES
1. To conduct a scoping review of literature on vagus nerve stimulation in Alzheimer's-disease and related dementias.
2. To determine behavioral changes associated with vagus nerve stimulation in a rat model of Alzheimer-like symptoms.
3. To evaluate the morphological, Immunohistochemical and molecular changes in the Hippocampus, prefrontal cortex and medial temporal cortex associated with chronic stimulation of the vagus nerve in a rat model of Alzheimer’s-like disease.
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Uganda |
2024-02-26 13:43:22 |
2027-02-26 |
Medical and Health Sciences |
Clinical Trial |
Degree Award |
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Mallory Holding Anne
ID:
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Play Our Part (PoP) project primary data collection on effective engagement strategies with policymakers to support Learning through Play (LtP) in Early Childhood Education (ECE)
REFNo: SS2399ES
To gather data to help answer the PoP CoP learning question 3A: Which Engagement Strategies with Policymakers lead to the creation of enabling environments for LtP in Centre-based systems. ,Identify which advocacy approaches policymakers have found most effective.,Determine the way in which partners are currently engaging in national level advocacy activities and their definition of effectiveness.,Identify effective strategies for engaging policymakers on LtP in ECCE systems. ,
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USA |
2024-02-26 13:42:34 |
2027-02-26 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Sarah Lofgren
ID: UNCST-2019-R001647
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Supervised Treadmill intervention to Reduce Inflammation and Depression through Exercise in HIV: The STRIDE Pilot Study
REFNo: HS3358ES
The objective of this study is to determine the feasibility and acceptability of an aerobic intervention via a treadmill among individuals with HIV and depression in Uganda.
3.1 Primary Endpoint: Feasibility and acceptability of Exercise as a treatment for depression in Ugandans with HIV. This will be measured by:
-Percent completion of the prescribed aerobic exercise intervention, as assessed by research staff logging participation.
3.2 Secondary Endpoint(s)/ Outcome(s):
- acceptability of the intervention assessed via a post intervention survey
-feasibility and acceptability of using a wearable exercise tracker to assess the volume of exercise, based on calories burned and steps achieved, during the intervention period among Ugandans with HIV and depression.
- measure the mean and standard deviation of baseline and 8-week serum BDNF and IL-6 level to estimate an effect size and power a future study.
- measure the mean and standard deviation of baseline and 8-week depression score via PHQ-9 to estimate an effect size and power a future study.
- measure the mean and standard deviation in aerobic fitness baseline and at 8 weeks measured via METS/watts achieved and total time/distance to estimate the effect size for a future intervention.
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USA |
2024-02-26 13:41:23 |
2027-02-26 |
Medical and Health Sciences |
Clinical Trial |
Non-degree Award |
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Waiswa Peter
ID: UNCST-2020-R014921
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Intervention Study on Unintended Pregnancy among Teenagers in Busoga
REFNo: SS2284ES
The implementation objective is to evaluate intervention acceptability and scalability in Uganda,The intervention objective is to evaluate a novel model to reach unmarried teenagers and assess its effectiveness in reducing unmet needs for modern contraceptives among the target population,
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Uganda |
2024-02-26 13:39:25 |
2027-02-26 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
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Miriam Nakalembe
ID: UNCST-2021-R014040
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Cervical Cancer Screening Utilizing Image Capture and Machine Learning to Identify Precancerous Cervical Lesions
REFNo: HS3743ES
Using pathological confirmation of CIN 2/3+ as the reference standard for pre-cancer, determine if the sensitivity and specificity of image capture of the cervix and artificial intelligence/deep machine learning/interpretation is superior to VIA, the current standard of care for cervical cancer screening in sub-Saharan Africa. ,Evaluate the quality of the cervical images captured in the clinics for use in artificial intelligence/deep machine learning.,Establish an informatics and data management infrastructure for cervical cancer that utilizes the IeDEA data platform and will allow for images and biologic data to be stored and characterized with the AIDS and Cancer Specimen Resource (ACSR) and the National Library of Medicine (NLOM). ,
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Uganda |
2024-02-26 13:37:44 |
2027-02-26 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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