A5059441493- Digital Imaging for Blood Diseases
- Hemoglobinopathies and Related Disorders
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Chronic Lymphocytic Leukemia Research
- Iron Metabolism and Disorders
- AI in cancer detection
- Acute Lymphoblastic Leukemia research
- Blood groups and transfusion
- Cell Image Analysis Techniques
- Smart Agriculture and AI
- Erythrocyte Function and Pathophysiology
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Eosinophilic Disorders and Syndromes
- Retinoids in leukemia and cellular processes
- Childhood Cancer Survivors' Quality of Life
- Platelet Disorders and Treatments
- Brain Tumor Detection and Classification
- Kruppel-like factors research
- Image Processing Techniques and Applications
- Systemic Lupus Erythematosus Research
- Blood donation and transfusion practices
- SARS-CoV-2 detection and testing
- Epigenetics and DNA Methylation
Universiti Sains Malaysia
2016-2025
Hospital Universiti Sains Malaysia
2016-2025
Sultan Zainal Abidin University
2024
Hospital Sultanah Nur Zahirah
2024
National Institute of Pathology
2024
KPJ Ampang Puteri Specialist Hospital
2020
University of Malaya
2019
Universiti Malaysia Kelantan
2010-2019
Charité - Universitätsmedizin Berlin
2012
University of Dental Medicine
2011
Abstract Deregulation of the RAS-RAF-mitogen-activated protein kinase/extracellular signal-regulated kinase (ERK) (MEK)-ERK signaling cascade is often caused by somatic mutations in genes encoding proteins which influence activity this pathway and include NRAS, KRAS2, FLT3, PTPN11, BRAF. We report first comprehensive mutational screen key exons these a large cohort unselected acute lymphoblastic leukemia (ALL) cases at diagnosis (n = 86) more selected disease recurrence 47) using sensitive...
The k-nearest neighbor (k-NN) is a traditional method and one of the simplest methods for classification problems. Even so, results obtained through k-NN had been promising in many different fields. Therefore, this paper presents study on blasts classifying acute leukemia into two major forms which are myelogenous (AML) lymphocytic (ALL) by using k-NN. 12 main features that represent size, color-based shape were extracted from blood images. k values distance metric tested order to find...
Tumor-suppressor genes are inactivated by methylation in several cancers including acute myeloid leukemia (AML). Src homology-2 (SH2)-containing protein-tyrosine phosphatase 1 (SHP-1) is a negative regulator of the JAK/STAT pathway. Transcriptional silencing SHP-1 plays critical role development and progression through STAT3 activation. 5-Azacytidine (5-Aza) DNA methyltransferase inhibitor that causes demethylation resulting re-expression silenced SHP-1. Lestaurtinib (CEP-701) multi-targeted...
Pharmacological vitamin C (Vit-C), or high-dose Vit-C has recently gained attention as a potential cancer therapeutic. However, the anticancer activity of not been investigated in realistic 3D models human cancers, especially with respect to breast (BC), and its benefits remain under debate. Herein, we investigate mechanism action pharmacological on two BC tumor spheroids. We developed distinct types spheroids from MDA-MB-231 MCF-7 cells. The underwent treatment range concentrations (1, 5,...
As critically ill COVID-19 patients are prone to infections by other respiratory pathogens, this study aimed investigate the detection of co-pathogens in such patients, employing a multiplex molecular panel. Conducted at Universiti Sains Malaysia Specialist Hospital (HPUSM) from November 1, 2021, 2022, retrospective cross-sectional analysed adults admitted with confirmed COVID-19. Oropharyngeal/ nasopharyngeal swabs collected upon admission were tested using Fast Track Diagnostic (FTD®)...
Colour image segmentation has becoming more popular for computer vision due to its important process in most medical analysis tasks. One of the main tasks is white blood cell (WBC) where WBC composition reveals diagnostic information a patient. In this paper, combination between linear contrast technique and colour based on HSI (Hue, Saturation, Intensity) space were used order obtain fully segmented abnormal nucleus acute leukaemia images. The unsupervised namely k-means clustering...
Leukemia is a disease that affects blood forming cells in the body. Early detection of necessary for proper treatment management. Abnormal white or blasts play important role hematologists their diagnostic process. Digital image processing technique could help them analysis and diagnosis by enhancing visibility interested features WBC. In this paper, global contrast stretching (GCS) segmentation based on HSI (Hue, Saturation, Intensity) color space will be used to improve quality. Image...
Contrast enhancement and image segmentation play an important process in most medical analysis tasks. One of the main tasks is analyzing white blood cells (WBC) where WBC composition reveals diagnostic information a patient. This paper presents two phase methodology order to obtain fully segmented abnormal cell (blast) nucleus acute leukaemia images. In first phase, three contrast techniques which are partial contrast, bright stretching dark were used improve quality. enhanced area interest...
Morphological diagnosis of the blood and bone marrow smear under microscope is an important preliminary step in acute leukemia. The features differential counts cells provide valuable information to specialist confirm begin treatment, thus increasing chance survival patient. Manual procedures are often tedious, labor intensive time consuming. A computerised system can help accelerating morphological process. proposed method consists gradient magnitude, thresholding, operations watershed...