Sofiène Mansouri

ORCID: 0000-0002-6191-3095
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About
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Research Areas
  • Advanced biosensing and bioanalysis techniques
  • Biosensors and Analytical Detection
  • Hemodynamic Monitoring and Therapy
  • Electrical and Bioimpedance Tomography
  • Non-Invasive Vital Sign Monitoring
  • Advanced Nanomaterials in Catalysis
  • Analytical chemistry methods development
  • Cardiovascular Health and Disease Prevention
  • Analytical Chemistry and Sensors
  • Body Composition Measurement Techniques
  • Cancer Diagnosis and Treatment
  • Advanced MEMS and NEMS Technologies
  • RNA Interference and Gene Delivery
  • ECG Monitoring and Analysis
  • Advanced Chemical Sensor Technologies
  • Mechanical and Optical Resonators
  • EEG and Brain-Computer Interfaces
  • Artificial Intelligence in Healthcare
  • Microfluidic and Capillary Electrophoresis Applications
  • CCD and CMOS Imaging Sensors
  • SARS-CoV-2 detection and testing
  • Microfluidic and Bio-sensing Technologies
  • MicroRNA in disease regulation
  • Breast Cancer Treatment Studies
  • Advanced Memory and Neural Computing

Prince Sattam Bin Abdulaziz University
2019-2025

Tunis El Manar University
2020-2024

Tunis University
2020-2024

Hôpital Universitaire International Cheikh Khalifa
2019

Centre Hospitalier Universitaire Ibn Rochd
2011-2013

University of Sousse
2009-2010

Yahoo (United Kingdom)
2008

Abstract Electrical impedance tomography (EIT) is a low-cost noninvasive imaging method. The main purpose of this paper to highlight the aspects EIT method and review recent advances developments. in instrumentation different image reconstruction methods systems are demonstrated review. applications presented special attention made papers published during last years (from 2015 until 2020). advantages limitations also presented. In conclusion, promising approach with strong potential that has...

10.2478/joeb-2021-0007 article EN cc-by Journal of Electrical Bioimpedance 2021-01-01

Background: Mammography is commonly utilised for the detection of breast cancer, but it has some drawbacks like inaccurate findings. There a good possibility improvements in diagnostic accuracy by ML algorithms. Preventive healthcare requires early cervical cancer screening. Machine learning techniques are used variety ways to analyse data on cancer. This study evaluated RF and SVM models identification The results can potentially be improved use comparative analysis. It necessary consider...

10.58346/jowua.2025.i1.020 article EN Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications 2025-03-31

Abstract Chitosan films are increasingly being applied in the biomedical field owing to their biocompatibility, biodegradability, non-toxicity, mucoadhesive nature, hemostatic properties, antibacterial and biological activities. This study aimed enhance mechanical properties of chitosan by doping niosomal sage nanoparticles (NS-SagNPs) at various concentrations (100–300 μ g). The NS-SagNPs were prepared a thin-film hydration process with an average particle size 21.5 nm. doped fabricated...

10.1088/2053-1591/ac600a article EN cc-by Materials Research Express 2022-03-01

The field of computer technology has seen remarkable advancements, which led to a surge in interest the possible applications "Artificial Intelligence," or AI, fields medicine and biological research.The artificial intelligence known as Neural Networks" (ANNs) is one most promising intensively researched subfields AI.ANNs are, their fundamental form, mathematical algorithms that are generated by computers.ANNs taught using standard data able comprehend information imparted data.ANNs have...

10.58346/jowua.2023.i1.006 article EN Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications 2023-04-19
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