Inhibitive Effect of antibiotic-loaded beads to cure chronic osteomyelitis in developing country: Hand-made vs commercial beads

Autor: Rasyid, Hcrmawan N., Van Horn, Jim R., Van der Mei, Henny C., Soegijoko, Sooegijardjo, Busscher, Henk J., Neut, Danielle, Ibrahim, F, Osman, NAA, Usman, J, Kadri, NA

Publikováno v: 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 113-117
STARTPAGE=113;ENDPAGE=117;TITLE=3rd Kuala Lumpur International Conference on Biomedical Engineering 2006

Local antibiotic-loaded beads have been approved for standard treatment of orthopaedic pathogens, especially chronic osteomyelitis. Septopal (R), the only commercial local antibiotic bead available on the market, is expensive and contains only gentam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::69c1160af3e08a9221a3d2983bd5cfc6
https://research.rug.nl/en/publications/a465ed9e-a7cb-469d-b398-e669ce1f2549

Causes and predictors of 30‐day readmission in patients with syncope/collapse: a nationwide cohort study

Autor: Kadri, Amer N., Abuamsha, Hasan, Nusairat, Leen, Kadri, Nazih, Abuissa, Hussam, Masri, Ahmad, Hernandez, Adrian V.

Publikováno v: Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCJournal of the American Heart Association.

Background Syncope accounts for 0.6% to 1.5% of hospitalizations in the United States. We sought to determine the causes and predictors of 30‐day readmission in patients with syncope. Methods and Results We identified 323 250 encounters with a prim

Externí odkaz: http://hdl.handle.net/10757/624630

Development of near real-time assessment system for cancer cells

Autor: Kadri, Nahrizul Adib

Externí odkaz: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533196

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023).

Autor: Gudigar A; Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India., Kadri NA; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia., Raghavendra U; Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India. Electronic address: raghavendra.u@manipal.edu., Samanth J; Department of Cardiovascular Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, 576104, India., Maithri M; Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India., Inamdar MA; Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India., Prabhu MA; Department of Cardiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India., Hegde A; Manipal Hospitals, Bengaluru, Karnataka, 560102, India., Salvi M; Biolab, PolitoBIOMedLab, Department of Electronics and Telecommunications, Politecnicodi Torino, Turin, Italy., Yeong CH; School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, 47500, Subang Jaya, Malaysia., Barua PD; Cogninet Brain Team, Cogninet Australia, Sydney, NSW, 2010, Australia; School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Toowoomba, QLD, 4350, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, 2007, Australia., Molinari F; Biolab, PolitoBIOMedLab, Department of Electronics and Telecommunications, Politecnicodi Torino, Turin, Italy., Acharya UR; School of Mathematics, Physics, and Computing, University of Southern Queensland, Springfield, QLD, 4300, Australia; Centre for Health Research, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Apr; Vol. 172, pp. 108207. Date of Electronic Publication: 2024 Feb 28.

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights.

Autor: Moravvej SV; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.; Department of Electrical and Computer Engineering, University of Kashan, Kashan, Iran., Alizadehsani R; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Khanam S; Dhaka Dental College, Dhaka, Bangladesh., Sobhaninia Z; Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran., Shoeibi A; Faculty of Electrical Engineering, FPGA Lab, K. N. Toosi University of Technology, Tehran, Iran., Khozeimeh F; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Sani ZA; Omid Hospital, Iran University of Medical Sciences, Tehran, Iran., Tan RS; Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore.; Duke-NUS Medical School, Singapore., Khosravi A; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia., Nahavandi S; Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, Australia.; Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA., Kadri NA; Department of Biomedical Engineering, Faculty of Engineering, University Malaya, Kuala Lumpur 50603, Malaysia., Azizan MM; Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Bandar Baru Nilai 71800, Negeri Sembilan, Malaysia., Arunkumar N; Department of Biomedical Engineering, Rathinam College of Engineering, Coimbatore, India., Acharya UR; Ngee Ann Polytechnic, Singapore 599489, Singapore.; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore, Singapore.

Publikováno v: Contrast media & molecular imaging [Contrast Media Mol Imaging] 2022 Jun 30; Vol. 2022, pp. 8733632. Date of Electronic Publication: 2022 Jun 30 (Print Publication: 2022).