A5007477194- Natural Antidiabetic Agents Studies
- Cerebrovascular and Carotid Artery Diseases
- Artificial Intelligence in Healthcare and Education
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Diagnosis and Treatment of Venous Diseases
- Prostate Cancer Treatment and Research
- Intracranial Aneurysms: Treatment and Complications
- Venous Thromboembolism Diagnosis and Management
- Cholinesterase and Neurodegenerative Diseases
- Bladder and Urothelial Cancer Treatments
- Advanced Drug Delivery Systems
- Cardiovascular Health and Disease Prevention
- Pulsars and Gravitational Waves Research
- Electrospun Nanofibers in Biomedical Applications
- Intensive Care Unit Cognitive Disorders
- Phytochemicals and Antioxidant Activities
- Prostate Cancer Diagnosis and Treatment
- Fungal Biology and Applications
- Stroke Rehabilitation and Recovery
- Infant Health and Development
- Electrohydrodynamics and Fluid Dynamics
- Medicinal Plants and Neuroprotection
- Cosmology and Gravitation Theories
- Brain Metastases and Treatment
California State University, Fresno
2022-2024
University of California, San Francisco
2022-2024
Trillium Health Centre
2021-2024
De Montfort University
2020-2024
National Centre for Research
2017-2024
Al-Neelain University
2024
Newcastle University
2024
National Institute of Health
2019-2024
Community Medical Center
2023
SUNY Upstate Medical University
2023
Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist COVID-19, in resource-limited settings, are often not available. Furthermore, during the early stages pandemic were available any capacity. We utilized an automated machine learning (ML) approach to train evaluate thousands models on clinical dataset consisting commonly laboratory data, along with cytokine profiles (n = 150). These then...
COVID-19 serological test must have high sensitivity as well specificity to rule out cross-reactivity with common coronaviruses (HCoVs). We developed a quantitative multiplex test, measuring antibodies against spike (S) proteins of SARS-CoV-2, SARS-CoV, MERS-CoV, and human coronavirus strains (229E, NL63, OC43, HKU1), nucleocapsid (N) protein SARS-CoV viruses. Receptor binding domain S SARS-CoV-2 (S-RBD), N protein, demonstrated (94% 92.5%, respectively) in patients (n = 53), 98%...
In this cross-sectional study, the authors explored knowledge, attitudes, and practices related to artificial intelligence (AI) among medical students in Sudan. With AI increasingly impacting healthcare, understanding its integration into education is crucial. This study aimed assess current state of awareness, perceptions, practical experiences The evaluate extent familiarity Sudanese by examining their attitudes toward application medicine. Additionally, seeks identify factors influencing...
We aimed to develop an explainable machine learning (ML) model predict side-specific extraprostatic extension (ssEPE) identify patients who can safely undergo nerve-sparing radical prostatectomy using preoperative clinicopathological variables.A retrospective sample of data from 900 prostatic lobes at our institution was used as the training cohort. Primary outcome presence ssEPE. The baseline for comparison had highest performance out current biopsy-derived predictive models A separate...
Sarcocephalus latifolius is used as a traditional medicine for curing many diseases in Sudan. The main objective of the current study was to determine antioxidant activity and acetylcholinesterase inhibition (AChEI) S. latifolius, estimate its total phenolic flavonoid contents. Antioxidant tested plant extracts carried out by determining their ability scavenge 2,2-diphenyl-1-picryl hydrazyl (DPPH) free radical. On other hand, AChE inhibitory determined spectrophotometrically using Ellman's...
BackgroundAccurate prediction of side-specific extraprostatic extension (ssEPE) is essential for performing nerve-sparing surgery to mitigate treatment-related side-effects such as impotence and incontinence in patients with localised prostate cancer. Artificial intelligence (AI) might provide robust personalised ssEPE predictions better inform strategy during radical prostatectomy. We aimed develop, externally validate, perform an algorithmic audit AI-based Side-specific Extra-Prostatic...
Our aim in this study was to determine whether participating an integrated stepped care model for adolescents with type 1 diabetes (T1D) would lead improvements overall quality of life (QoL), diabetes-related (DRQoL) and glycated hemoglobin (A1C) levels compared usual care.A nonrandomized, 2-group, pre/post, delayed-intervention design used study. The Mind Youth Questionnaire (MY-Q) assess QoL DRQoL. Adolescents attending the clinic using formed intervention group (n=77). These completed...
Purpose: To observe interactions of practicing radiologists with a chest x-ray AI tool and evaluate its usability impact on workflow efficiency. Methods: Using simulated clinical remote multi-monitor screensharing, we prospectively assessed the 10 staff (5-33 years experience) PACS-embedded, regulatory-approved tool. Qualitatively, collected feedback using think-aloud method post-testing semi-structured interview; transcript themes were categorized by: (1) features, (2) deployment...
This study was performed to evaluate phytochemical composition of Khaya senegalensis stem bark and Azadirachta indica leaf hydroethanolic (80%) extracts using GC-MS technique as a tentative identification method screen for antioxidant antidiabetic properties in Wistar rats. Diabetes induced by intraperitoneal injection alloxan (150 mg/kg·bw). Animals were divided into groups six treated (400 mg/kg·bw) 28 days. The results compared with positive negative control animals. After treatment,...
Background: Stroke remains a leading cause of disability worldwide, with significant number survivors experiencing impairments in upper limb function and hand grip strength, which are crucial for performing activities daily living (ADLs). Understanding the relationship between functional independence, arm motor performance is essential optimizing rehabilitation strategies. Objective: This study aimed to investigate impact strength on independence stroke evaluate effectiveness Mirror Therapy...
Objective The COVID-19 pandemic has drastically altered the medical landscape. Various strategies have been employed to preserve hospital beds, personal protective equipment, and other resources accommodate surges of positive patients, overcapacities, staffing shortages. This had a dramatic effect on vascular surgical practice. objective this study is analyze impact delays adverse outcomes for patients with chronic venous disease scheduled undergo elective operations. Methods Vascular...
Abstract Background Quality sleep is vital for well-being, especially healthcare workers facing high risks of fatigue and burnout. Sleep deprivation impairs cognitive motor functions, contributing to medical errors. Addressing disorders among professionals crucial enhancing patient care. Tailored interventions are needed support their well-being improve outcomes. Objective To evaluate the effect its Deprivation on Sudanese Healthcare Professionals amidst conflict in Sudan. Methods A...
We report on the feasibility and effectiveness of an integrated community collaborative care model in improving health seniors with depression/anxiety symptoms chronic physical illness.This integrates geriatric medicine psychiatry managers (CM) providing holistic initial follow-up assessments, who use standardized rating scales to monitor treatment provide psychotherapy (ENGAGE). The CM presents cases a structured case review geriatrician psychiatrist. Recommendations are communicated by...
Delirium is a common, often preventable fluctuating state of cognition associated with increased morbidity and mortality. This report describes the implementation an interprofessional consultative Team formed to improve prevention, detection, management delirium in community hospital. members consulted refered inpatients establish care plan provide recommendations for pharmacological non-pharmacological management. The team also offered delirium-related education unit staff, patients,...