Nahrizul Adib Kadri

ORCID: 0000-0001-9694-4337
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About
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Research Areas
  • Microfluidic and Bio-sensing Technologies
  • Bone Tissue Engineering Materials
  • Microfluidic and Capillary Electrophoresis Applications
  • biodegradable polymer synthesis and properties
  • 3D Printing in Biomedical Research
  • Microbial Inactivation Methods
  • Hemostasis and retained surgical items
  • Carbon Nanotubes in Composites
  • Electrical and Bioimpedance Tomography
  • Surgical Sutures and Adhesives
  • Electrochemical sensors and biosensors
  • Dental materials and restorations
  • Graphene research and applications
  • EEG and Brain-Computer Interfaces
  • Non-Invasive Vital Sign Monitoring
  • Graphene and Nanomaterials Applications
  • Electrospun Nanofibers in Biomedical Applications
  • Electrowetting and Microfluidic Technologies
  • Magnetic and Electromagnetic Effects
  • Dental Implant Techniques and Outcomes
  • Advanced ceramic materials synthesis
  • Advanced biosensing and bioanalysis techniques
  • Retinal Imaging and Analysis
  • Infrared Thermography in Medicine
  • Electrochemical Analysis and Applications

University of Malaya
2015-2024

Faculty (United Kingdom)
2015-2018

Engineering (Italy)
2015-2018

Hospital Kuala Lumpur
2015-2018

University of Surrey
2008-2011

Creighton University
2005

Aalborg University
2003

Calcium silicate (CaSiO3, CS) ceramics are promising bioactive materials for bone tissue engineering, particularly repair. However, the low toughness of CS limits its application in load-bearing conditions. Recent findings indicating biocompatibility graphene imply that can be used as an additive to improve mechanical properties composites. Here, we report a simple method synthesis calcium silicate/reduced oxide (CS/rGO) composites using hydrothermal approach followed by hot isostatic...

10.1021/am500845x article EN ACS Applied Materials & Interfaces 2014-03-03

Haemorrhage remains the leading cause of potentially survivable death in both military and civilian populations. Although a large variety hemostatic agents have been developed, many them an inadequate capacity to induce hemostasis are not effective killing bacteria. In recent years, mesoporous bioactive glasses (MBGs) were found be inducing hemostasis. However, materials may considered as ideal hemostats since they do offer antimicrobial activity. The gallium ion (Ga+3) only exhibits...

10.1039/c5tb02062j article EN Journal of Materials Chemistry B 2015-11-18

Chitosan-based hemostats are promising candidates for immediate hemorrhage control. However, they have some disadvantages and require further improvement to achieve the desired hemostatic efficiency. Here, a series of 1% Ga2O3-containing mesoporous bioactive glass–chitosan composite scaffolds (Ga-MBG/CHT) were constructed by lyophilization process effect various concentrations Ga-MBG (10, 30, 50 wt %) on function CHT scaffold was assessed as compared that Celox Rapid gauze (CXR), current...

10.1021/acsami.7b07769 article EN ACS Applied Materials & Interfaces 2017-08-24

Myocarditis is heart muscle inflammation that becoming more prevalent these days, especially with the prevalence of COVID-19. Noninvasive imaging cardiac magnetic resonance (CMR) can be used to diagnose myocarditis, but interpretation time-consuming and requires expert physicians. Computer-aided diagnostic systems facilitate automatic screening CMR images for triage. This paper presents an model myocarditis classification based on a deep reinforcement learning approach called as...

10.1155/2022/8733632 article EN cc-by Contrast Media & Molecular Imaging 2022-01-01

Abstract Ice-like crystal compounds, which are formed in low-temperature and high-pressure thermodynamic conditions composed of a combination water molecules guest gas molecules, called hydrates. Since its discovery recognition as the responsible component for blockage oil transformation line, hydrate has been under extensive review by scientists. In particular, inhibition techniques crystals have updated order to reach more economically practically feasible methods. So far, kinetic...

10.1515/revic-2017-0013 article EN Reviews in Inorganic Chemistry 2018-04-17

10.1016/j.jmbbm.2012.02.029 article EN Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials 2012-04-21

This paper introduces a dielectrophoretic system for the manipulation and separation of microparticles. The is composed five layers utilizes microarray dot electrodes. We validated our by conducting size-dependent experiments on 1, 5 15 μm polystyrene particles. Our findings confirm capability proposed device to rapidly efficiently manipulate separate microparticles various dimensions, utilizing positive negative dielectrophoresis (DEP) effects. Larger size particles were repelled...

10.3390/s140406356 article EN cc-by Sensors 2014-04-03

Calcium silicate (CaSiO3, CS) ceramic composites reinforced with graphene nanoplatelets (GNP) were prepared using hot isostatic pressing (HIP) at 1150°C. Quantitative microstructural analysis suggests that GNP play a role in grain size and is responsible for the improved densification. Raman spectroscopy scanning electron microscopy showed survived harsh processing conditions of selected HIP parameters. The uniform distribution 1 wt.% CS matrix, high densification fine help to improve...

10.1371/journal.pone.0106802 article EN cc-by PLoS ONE 2014-09-17

This paper describes a computer-based identification system of normal and alcoholic Electroencephalography (EEG) signals. The was constructed from feature extraction classification algorithms. based on wavelet packet decomposition (WPD) energy measures. Feature fitness established through the statistical t-test method. extracted features were used as training test data for competitive 10-fold cross-validated analysis six showed that, with an accuracy 95.8%, k-nearest neighbor (k-NN)...

10.1142/s0219519413500334 article EN Journal of Mechanics in Medicine and Biology 2013-05-14

Pain intensity classification using facial images is a challenging problem in computer vision research. This work proposed patch and transfer learning-based model to classify various pain intensities images. The input were segmented into dynamic-sized horizontal patches or "shutter blinds". A lightweight deep network DarkNet19 pre-trained on ImageNet1K was used generate features from the shutter blinds undivided resized image. most discriminative selected these iterative neighborhood...

10.1038/s41598-022-21380-4 article EN cc-by Scientific Reports 2022-10-14
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