Saad Abdullah

Dr. Saad Abdullah

IDT, Mälardalen University, Västerås, Västmanland, Sweden
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
11 August 2023 in Medcomm – Biomaterials and Applications
Verified
Journal Article
Open access
BKBangul khan
Bangul khan
AAAreesha Arbab
Areesha Arbab
SKSamiullah Khan
Samiullah Khan
HFHajira Fatima
Hajira Fatima
IBIsha Bibi
Isha Bibi
SASaad Abdullah
Saad Abdullah
The scientific community has widely recognized thermosensitive hydrogels as highly biocompatible material with immense potential in drug delivery systems. When the temperature of these hydrogels approaches that of human body, a phase change occurs, enhancing their usefulness in a range of medical scenarios. This review article highlighted the background of thermosensitive hydrogels, their properties, and their applications in transdermal, oral, ophthalmic, intravaginal, nasal, rectal, cancer therapy, and cell‐loaded drug delivery systems. The literature suggests numerous advantages of these hydrogels over conventional drug delivery systems and find applications in various fields, such as therapeutic systems, filling processes, and sustained drug delivery systems. One of their key benefits is the ability to eliminate invasive procedures like surgery, providing a noninvasive alternative for drug administration. Moreover, they streamline the formulation process for both hydrophilic and hydrophobic drug delivery systems, simplifying the development of effective treatments. The thermosensitive hydrogels have been found to be green materials with negligible side effects and desirable drug delivery properties. The thermosensitive hydrogel's sustained‐release characteristics, immunogenicity, and biodegradability have also gained increased interest. Some of the disadvantages of thermosensitive hydrogels include delayed temperature response, weak mechanical characteristics, and poor biocompatibility, which limits their potential use in drug delivery applications.

6 May 2023 in Micromachines
Verified
Journal Article
Open access
PDF file
BKBangul khan
Bangul khan
SASaad Abdullah
Saad Abdullah
SKSamiullah Khan
Samiullah Khan
Wearable bioelectronics and therapeutics are a rapidly evolving area of research, with researchers exploring new materials that offer greater flexibility and sophistication. Conductive hydrogels have emerged as a promising material due to their tunable electrical properties, flexible mechanical properties, high elasticity, stretchability, excellent biocompatibility, and responsiveness to stimuli. This review presents an overview of recent breakthroughs in conductive hydrogels, including their materials, classification, and applications. By providing a comprehensive review of current research, this paper aims to equip researchers with a deeper understanding of conductive hydrogels and inspire new design approaches for various healthcare applications.

20 August 2023 in Bioengineering
Verified
Journal Article
Open access
PDF file
ZRZainab Riaz
Zainab Riaz
BKBangul khan
Bangul khan
SASaad Abdullah
Saad Abdullah
SKSamiullah Khan
Samiullah Khan
MIMd Shohidul Islam
Md Shohidul Islam
Background: Lung cancer is one of the most fatal cancers worldwide, and malignant tumors are characterized by the growth of abnormal cells in the tissues of lungs. Usually, symptoms of lung cancer do not appear until it is already at an advanced stage. The proper segmentation of cancerous lesions in CT images is the primary method of detection towards achieving a completely automated diagnostic system. Method: In this work, we developed an improved hybrid neural network via the fusion of two architectures, MobileNetV2 and UNET, for the semantic segmentation of malignant lung tumors from CT images. The transfer learning technique was employed and the pre-trained MobileNetV2 was utilized as an encoder of a conventional UNET model for feature extraction. The proposed network is an efficient segmentation approach that performs lightweight filtering to reduce computation and pointwise convolution for building more features. Skip connections were established with the Relu activation function for improving model convergence to connect the encoder layers of MobileNetv2 to decoder layers in UNET that allow the concatenation of feature maps with different resolutions from the encoder to decoder. Furthermore, the model was trained and fine-tuned on the training dataset acquired from the Medical Segmentation Decathlon (MSD) 2018 Challenge. Results: The proposed network was tested and evaluated on 25% of the dataset obtained from the MSD, and it achieved a dice score of 0.8793, recall of 0.8602 and precision of 0.93. It is pertinent to mention that our technique outperforms the current available networks, which have several phases of training and testing.

2 March 2023 in Sensors
Verified
Journal Article
Open access
PDF file
AHAbdelakram hafid
Abdelakram hafid
SDSabrina Difallah
Sabrina Difallah
CACamille Alves
Camille Alves
SASaad Abdullah
Saad Abdullah
Mia FolkeMia Folke
Mia Folke
Annica KristofferssonAnnica Kristoffersson
Annica Kristoffersson
Bladder monitoring, including urinary incontinence management and bladder urinary volume monitoring, is a vital part of urological care. Urinary incontinence is a common medical condition affecting the quality of life of more than 420 million people worldwide, and bladder urinary volume is an important indicator to evaluate the function and health of the bladder. Previous studies on non-invasive techniques for urinary incontinence management technology, bladder activity and bladder urine volume monitoring have been conducted. This scoping review outlines the prevalence of bladder monitoring with a focus on recent developments in smart incontinence care wearable devices and the latest technologies for non-invasive bladder urine volume monitoring using ultrasound, optical and electrical bioimpedance techniques. The results found are promising and their application will improve the well-being of the population suffering from neurogenic dysfunction of the bladder and the management of urinary incontinence. The latest research advances in bladder urinary volume monitoring and urinary incontinence management have significantly improved existing market products and solutions and will enable the development of more effective future solutions.

1 July 2024 in Sensors
Verified
Journal Article
Open access
PDF file
KKKehkashan Kanwal
Kehkashan Kanwal
MAMuhammad Asif
Muhammad Asif
Syed Ghufran KhalidSyed Ghufran Khalid
Syed Ghufran Khalid
Haipeng LiuHaipeng Liu
Haipeng Liu
AQAisha Ghazal Qurashi
Aisha Ghazal Qurashi
SASaad Abdullah
Saad Abdullah
Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.

23 May 2016 in BMC Research Notes
Verified
Journal Article
Open access
PDF file
AGAmbreen Gowani
Ambreen Gowani
HAHafiz Imtiaz Ahmed
Hafiz Imtiaz Ahmed
WKWardah Khalid
Wardah Khalid
AMAbdul Muqeet
Abdul Muqeet
SASaad Abdullah
Saad Abdullah
AKAyeesha Kamran Kamal
Ayeesha Kamran Kamal
Non-communicable diseases (NCD) are the leading causes of death globally. In Pakistan, they are among the top ten causes of mortality, especially in the productive age group (30–69 years). Evidence suggests that health perceptions and beliefs strongly influence the health behavior of an individual. We performed focus group interviews to delineate the same so as to design the user interface of a non-invasive stroke risk monitoring device. It was a qualitative study, designed to explore how health perceptions and beliefs influence behavior for NCD prevention. Four focus group discussions (FGD) were conducted with 30 stable participants who had diabetes mellitus, ischemic heart disease, blood pressure, and stroke. The data was collected using a semi-structured interview guide designed to explore participants’ perceptions of their illnesses, self-management behaviors and factors affecting them. The interviews were transcribed and content analysis was done using steps of content analysis by Morse and Niehaus [10]. Medication adherence, self-monitoring of blood sugars and blood pressures, and medical help seeking were the commonly performed self-management behaviors by the participants. Personal experience of illness, familial inheritance of disease, education and fear of premature death when life responsibilities were unfulfilled, emerged as strong facilitators of self-management behaviors. A sense of personal invincibility, Fatalism or inevitability, lack of personal threat realization, limited knowledge, inadequate health education, health care and financial constraints appeared as key barriers to the self-management of chronic disease in participants. Behavioural interventional messaging will have to engender a sense of personal vulnerability and yet empower self-efficacy solutions at the individual level to deal with both invincibility and inevitability barriers to adoption of healthy behavior.