Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Deep learning predictive model for colon cancer patient using CNN-based classification
Z Tasnim, S Chakraborty… - International …, 2021 - researchers.cdu.edu.au
In recent years, the area of Medicine and Healthcare has made significant advances with the
assistance of computational technology. During this time, new diagnostic techniques were …
assistance of computational technology. During this time, new diagnostic techniques were …
[HTML][HTML] Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification
Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when
handling biomedical data. While extant studies focus on cryptography and differential …
handling biomedical data. While extant studies focus on cryptography and differential …
Antibacterial, antidiabetic, acute toxicity, antioxidant, and nephroproductive competence of extracts of Lannea coromandelica fruit through in-vitro and in-vivo animal …
HA Ha, MK Al-Sadoon, M Saravanan… - Environmental Research, 2024 - Elsevier
The anti-dermatophytic (Proteus vulgaris, Klebsiella pneumoniae, Enterobacter aerogenes,
Propionibacterium acnes, Staphylococcus aureus, and Streptococcus pyogenes) and …
Propionibacterium acnes, Staphylococcus aureus, and Streptococcus pyogenes) and …
[PDF][PDF] Ovothiol-a isolated from sea urchin eggs suppress oxidative stress, inflammation, and dyslipidemia resulted in restoration of liver activity in cholestatic rats
NMK Madany, MR Shehata… - … Res. Appl. Chem, 2022 - biointerfaceresearch.com
Cholestasis is dropping in bile flow, leading to the intrahepatic bulk of bile acids and other
poisonous compounds with the progression of liver pathology, including hepatocellular …
poisonous compounds with the progression of liver pathology, including hepatocellular …
An interpretable stacking ensemble learning framework based on multi-dimensional data for real-time prediction of drug concentration: the example of olanzapine
X Zhu, J Hu, T Xiao, S Huang, Y Wen… - Frontiers in …, 2022 - frontiersin.org
Background and Aim: Therapeutic drug monitoring (TDM) has evolved over the years as an
important tool for personalized medicine. Nevertheless, some limitations are associated with …
important tool for personalized medicine. Nevertheless, some limitations are associated with …
Effect of Fipronil Exposure on Hematological Aspects of Rhesus Monkeys (Macaca mulatta): Risk and Toxicity Assessment in Agro-Workers
NH Khan, E Jiang, IZ Qureshi - Journal of Inflammation Research, 2023 - Taylor & Francis
Background Fipronil (FPN) is a broad-spectrum phenylpyrazole insecticide, widely used in
agriculture and veterinary medicine. Published research on FPN toxicity has established the …
agriculture and veterinary medicine. Published research on FPN toxicity has established the …
A Transfer Learning Approach for Face Recognition Using Average Pooling and MobileNetV2
FM Javed Mehedi Shamrat, S Chakraborty… - Congress on Intelligent …, 2022 - Springer
Facial recognition is a fundamental method in facial-related science such as face detection,
authentication, monitoring, and a crucial phase in computer vision and pattern recognition …
authentication, monitoring, and a crucial phase in computer vision and pattern recognition …
Liver Disease Diagnosis using Tree-Based Machine Learning Algorithms
Liver Disease (LD) is a lethal yet relatively common disorder that is impacting the lives of
millions across the world, causing slow yet irreversible internal organ damage or total organ …
millions across the world, causing slow yet irreversible internal organ damage or total organ …
Y90 Radyoembolizasyon Tedavisinde Makine Öğrenmesi ile Aktivite Tahmini
İtriyum-90 (Y90) radyoembolizasyonu primer ve metastatik karaciğer kanseri tedavisinde
kullanılan bir yöntemdir. Tedavide, Y90 aktivite miktarının (MBq) hastaya spesifik dozimetri …
kullanılan bir yöntemdir. Tedavide, Y90 aktivite miktarının (MBq) hastaya spesifik dozimetri …