A5054844717- Advanced Proteomics Techniques and Applications
- Prostate Cancer Treatment and Research
- Radiomics and Machine Learning in Medical Imaging
- Cancer, Lipids, and Metabolism
- Molecular Biology Techniques and Applications
- COVID-19 epidemiological studies
- Cancer Genomics and Diagnostics
- Data-Driven Disease Surveillance
- PARP inhibition in cancer therapy
- COVID-19 Pandemic Impacts
- Prostate Cancer Diagnosis and Treatment
- Mosquito-borne diseases and control
- Lung Cancer Treatments and Mutations
- Anomaly Detection Techniques and Applications
- Histone Deacetylase Inhibitors Research
- Animal Disease Management and Epidemiology
- Colorectal Cancer Treatments and Studies
- MicroRNA in disease regulation
- COVID-19 impact on air quality
- Mathematical and Theoretical Epidemiology and Ecology Models
- COVID-19 diagnosis using AI
- Metabolomics and Mass Spectrometry Studies
- Tannin, Tannase and Anticancer Activities
- Glutathione Transferases and Polymorphisms
- Dengue and Mosquito Control Research
National Cancer Centre Singapore
2023-2025
Universiti Malaysia Sarawak
2020-2023
Malaysia is currently facing an outbreak of COVID-19. We aim to present the first study in report reproduction numbers and develop a mathematical model forecasting COVID-19 transmission by including isolation, quarantine, movement control measures. utilized susceptible, exposed, infectious, recovered (SEIR) incorporating order (MCO) taken Malaysia. The simulations were fitted into Malaysian active case numbers, allowing approximation parameters consisting probability per contact (β), average...
Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite addition of chemotherapy to radiotherapy enhance its tumoricidal effects, almost a third HNC patients suffer from locoregional relapses. Salvage therapy options such recurrences are limited often suboptimal, partly owing divergent tumor microenvironmental factors underpinning radioresistance. In this study, we utilized combinatorial functionomics approach, Quadratic Phenotypic Optimization Platform...
Abstract This paper focuses on the formulation of a deterministic COVID-19 transmission model by considering exposed and recovered populations with immunity. The scenario simulation is depicted based patient zero in Malaysia. found to be able predict next confirmed case given single introduced fully susceptible population. mathematical developed SEIR which has susceptible, exposed, infectious populations. system equations were obtained solved numerically results analyzed. analysis includes...
Prostate cancer is frequently treated with radiotherapy. Unfortunately, aggressive radioresistant relapses can arise, and the molecular underpinnings of radioresistance are unknown. Modern clinical radiotherapy evolving to deliver higher doses radiation in fewer fractions (hypofractionation). We therefore analyzed genomic, transcriptomic, proteomic data characterize prostate cells both conventionally fractionated hypofractionated Independent fractionation schedule, resistance involved...
COVID-19 causes a jarring impact on the livelihoods of people in Malaysia and globally. To prevent an outbreak community, identifying likely sources infection (hotspots) is important. The goal this study to formulate bipartite network model transmissions by incorporating patient mobility data address assumption population homogeneity made conventional models focus indirect transmission. Two types nodes – human location are main concern research scenario. 21 31 identified from patient's...
137 Background: Resistance to RT remains a clinical challenge, given our limited understanding of the molecular pathways underpinning radioresistance. Here, we investigated for mechanisms linked RR using paired experimental and clinico-molecular HNC PCa datasets discovery validation novel that may be enriched in cancers. Methods: For data, generated (FaDu, HK1) (22Rv1, DU145) cell lines following high-dose X-irradiation (90 Gy 45 fr). Genotypic characterization wildtype (WT) cells was...
145 Background: Endemic NPC is invariably linked to Epstein-Barr virus infection, and often presents as locoregionally-advanced (LA-) disease. Nonetheless, it acknowledged that LA-NPC clinically heterogeneous, with disparate clinical presentations of ascending (A) descending (D) subtypes are characterized by T3-4N0-1 T1-2N2-3 disease, respectively. Here, we investigated the TIME between these distinct phenotypes using whole transcriptome sequencing digital pathology. Methods: We utilized a...
<p>Supporting data for differential RNA abundance analysis</p>
<p>Prostate cancer cohort characteristics</p>
<p>Prostate cancer cohort characteristics</p>
<p>The genomic landscape of CF- and HF-resistant prostate cancer cells. <b>A,</b> Schematic experimental design workflow. <b>B,</b> Somatic SNV count for vs. CF-resistant cells gained twice more SNVs than HF (<i>P</i> = 0.1; Mann–Whitney <i>U</i> test). <b>C,</b> in driver genes. Presented are all genes that predicted to be strongly influenced by SNVs. Considered were identified three replicates each cell type. Top,...