FMDB Transactions on Sustainable Health Science Letters
2024 Vol.2 No.3

ISSN: 2993-6896


Editor: Ela Vashishtha

Pages Title and author(s)
128-140 Nasal Colonization of Staphylococcus Aureus Among Volunteered Students: A Prevalence Study Ukpa Susan, Julia Obogo, Uchejeso Obeta, Maryam Hussain Keywords: Staphylococcus Aureus Nasal Colonization; Resistant Bacteria; Prevalence of Staphylococcus; Gram-Positive Bacteria; Β-Lactam Antibiotics; Systemic Illnesses; Nasal Abnormalities. DOI: 10.69888/FTSHSL.2024.000249
141-151 Revolutionizing Patient Care through Innovation and Technology in Modern Healthcare Sunil Kumar Sehrawat Keywords: Patient Care; Healthcare Innovation; Technology in Healthcare; Telemedicine and Artificial Intelligence; Machine Learning; Predictive Analytics; Blockchain System; Health Information. DOI: 10.69888/FTSHSL.2024.000250
152-163 Enhanced Deep Learning Models for Early Detection of Renal Failure from CT Imaging S. Rubin Bose, J. Angelin Jeba, R. Regin, S. Tarunraj, Edwin Shalom Soji, S. Suman Rajest Keywords: Chronic Kidney Disease; Kidney Diagnostics; Machine Learning; Renal Segmentation; Non-Invasive Diagnosis; Healthcare Systems; Artificial Intelligence; Medical Imaging; Kidney Health. DOI: 10.69888/FTSHSL.2024.000251
164-174 Navigating FDA Regulations for Combination Products: Challenges at the Intersection of Drugs and Devices Rambabu Inaganti Keywords: FDA Regulations; Combination Products; Drugs and Devices; Regulatory Challenges; Premarket Approval; Advancing Health Technologies; Life Cycle Management; Regulatory Challenges. DOI: 10.69888/FTSHSL.2024.000252
175-187 A Comprehensive Comparison of Adaboost, Lightgbm, and Catboost for Alzheimer’s Disease Classification Malini Premakumari William, S. Silvia Priscila, S. Briskline Kiruba, T. R. Nisha Dayana, P. Velavan Keywords: Alzheimer’s Disease (AD); Precise Diagnosis; Robust Machine Learning System; Correlation Heatmaps; Unravel Complex Data; Underlying Mechanisms; Distinguishing Nuanced; Adaboost Classifiers. DOI: 10.69888/FTSHSL.2024.000253