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Quality Control and Regulatory Framework for Implementing Machine Learning in Clinical Diagnosis: The DNA Methylation Classifier in Pediatric Brain Tumors
(Biomedical Sciences, 2024 , Master Thesis)
Background:
Accurately diagnosing CNS tumors is essential but difficult, with a notable risk of errors. To enhance diagnostic precision, the WHO now combines molecular data with traditional methods. While AI and ML ...
INTERACTION BETWEEN CLOCK GENE AND LIFESTYLE FACTOR IN RELATION TO OBESITY RISK FACTOR
(Biomedical Sciences, 2024 , Master Thesis)
Background: Circadian rhythms regulate vital biological processes affecting metabolic pathways. Its dysregulation is associated with obesity, cardiovascular diseases, insulin resistance, and other signs of metabolic syndrome. ...
MACHINE LEARNING PREDICTION OF DIABETES FROM A PUBLICLY AVAILABLE DATASET
(Biomedical Sciences, 2024 , Professional Masters Project)
A wide array of medical conditions necessitate invasive diagnostic techniques, with diabetes being one of the most well-known among them. To address this challenge, a predictive model was developed using a publicly available ...
Machine Learning Prediction of Cancer from The Publicly Available Dataset
(Biomedical Sciences, 2024 , Master Thesis)
Prostate cancer in the second most common cause of cancer in men around the world and in Qatar with a high incidence rate worldwide. This has resulted in an increased mortality rate, making prostate cancer a healthcare ...
UNRAVELING THE MICROBIOME DIVERSITY AND DYNAMICS IN DIFFERENT SAMPLE TYPES DURING CORONAVIRUS INFECTIONS
(Biomedical Sciences, 2024 , Master Thesis)
Background: Mucosal immunity and gut microbiome influence respiratory diseases like those caused by coronaviruses (HCoV). This study explores the relationship between HCoV infection and the respiratory and gut microbiome. ...
Dissecting the Role of Physical Activity and Sleep in Metabolically Healthy Obese Subjects: A National Study
(Biomedical Sciences, 2024 , Master Thesis)
In the last decade, researchers brought attention to a subgroup of obesity that has a lower risk of cardiometabolic abnormalities. Considering Qatar is one of the top-ranked countries in terms of obesity, this study aims ...
ASSESSMENT OF GNAS LOSS OF FUNCTION IN MONOGENIC OBESITY USING THE ZEBRAFISH MODEL
(Biomedical Sciences, 2024 , Master Thesis)
GNAS (Guanine Nucleotide-Binding Protein, Alpha Stimulating) is an imprinted gene that encodes the alpha subunit of the stimulatory G protein (Gs), which participates in the signaling of various G protein-coupled receptors. ...
IDENTIFICATION AND FUNCTIONAL VALIDATION OF RARE MISSENSE VARIANTS IN PLXNA1 AS A CANDIDATE GENE FOR SEVERE EARLY-ONSET OBESITY
(Biomedical Sciences, 2024 , Master Thesis)
Childhood obesity is a pressing issue in Qatar, with a reported prevalence of 49% among school-aged children and adolescents. This complex problem involves a combination of genetic and environmental factors. Monogenic ...
ANALYSIS OF MUTATIONS USING ANCIENT DNA GENOMES TO UNDERSTAND PATHOGENIC EMERGENCE AND DISEASE EVOLUTION
(Biomedical Sciences, 2024 , Master Thesis)
Paleogenomics, the study of ancient DNA, has revolutionized our comprehension of human history by providing access to genomic data spanning hundreds of thousands of years. High-throughput sequencing methods have enabled ...
CHARACTERIZATION OF PATHOGEN-ASSOCIATED ANTIBODY PROFILES IN DIABETES MELLITUS-TYPE 2 PATIENTS USING IMMUNOPROTEOMICS APPROACH
(Biomedical Sciences, 2024 , Master Thesis)
Type 2 diabetes mellitus (T2DM) is a common health concern globally. 80% of diabetic patients are T2DM patients. T2DM can result in many serious complications. For instance, cardiovascular diseases, renal diseases, eye ...