Healthcare

MUET researchers across disciplines are collaborating to develop cutting-edge technological solutions that revolutionize healthcare delivery and patient outcomes. We address critical challenges in areas such as medical imaging, disease diagnosis, mental health, and drug delivery systems.

Alzheimer's Dementia Recognition

Dr. Muhammad Shehram Shah from the Software Engineering Department is leading several interdisciplinary projects focused on the automated recognition of Alzheimer's dementia. One project utilizes deep learning techniques, such as bag-of-deep-features and model ensembling, to analyze medical imaging data like MRI or PET scans, identifying patterns associated with Alzheimer's disease.

Another project involves developing a system to recognize Alzheimer's dementia from spontaneous speech, specifically tackling the ADRESSO Challenge 2021. This research combines expertise in natural language processing (NLP) and healthcare to analyze speech patterns and detect markers indicative of Alzheimer's disease. Dr. Shehram and his team hold the honour of securing top-3 positions for 2020 and 2021 competitions at the Interspeech conference for developing machine learning models to recognize Alzheimer's Dementia.

Mental Health and Wellbeing

Dr. Zafi Sherhan Shah from the Telecommunication Engineering Department is spearheading interdisciplinary efforts in mental healthcare. One project explores the implementation of artificial intelligence (AI) technologies to improve mental healthcare services at the Sir Cowasjee Mental Health Institute in Hyderabad, Sindh. By integrating AI algorithms and techniques, this research aims to enhance diagnosis, treatment, and patient care in the field of mental health.

Additionally, Dr. Shah's team is analyzing the impact of COVID-19 on mental health and well-being by studying Reddit posts using natural language processing (NLP) techniques. This interdisciplinary approach provides valuable insights into the psychological effects of the pandemic on individuals, informing mental health interventions and support systems.

Nanomedicine and Medical Imaging

Dr. Zeeshan Khatri from the Textile Engineering Department is leading a study on the fabrication of nanofibers containing the antibiotic ceftriaxone, using cellulose acetate and polyvinyl alcohol. This research investigates the antibacterial efficacy of these nanofibers, indicating their potential in combating bacterial infections and offering controlled drug release mechanisms for medical applications.

In the field of medical imaging, Dr. Fahim Aziz Umrani from the Telecommunication Engineering Department has focused on "Deep learning-based automated detection of intraretinal cystoid fluid." This project employs deep learning techniques to automate the detection of intraretinal cystoid fluid, contributing to advancements in medical imaging and diagnosis.