Research & Publications

Advancing digital health through evidence-based research and clinical studies

Our Research Initiative

At EmpowerTCL, we believe that innovation must be grounded in rigorous scientific research. Our research team collaborates with leading academic institutions and healthcare organizations to advance the field of digital health through peer-reviewed studies and clinical trials.

25+
Published Papers
8
Ongoing Studies
15+
Partner Institutions
50K+
Study Participants

Research Areas

Exploring the frontiers of digital health innovation

Artificial Intelligence

Machine learning applications in clinical decision support and predictive analytics.

8 Publications

Telemedicine

Studies on remote care delivery effectiveness and patient satisfaction outcomes.

6 Publications

Mobile Health

Research on patient engagement and adherence through mobile health applications.

5 Publications

Healthcare Security

Cybersecurity frameworks and privacy protection in digital health systems.

4 Publications

Health Analytics

Population health insights and clinical outcome improvements through data analytics.

2 Publications

Recent Publications

Our latest contributions to the scientific community

In Press

Shadow Process to Improve Running Speed of a Program

Tian, C., Hazzazi, N.

Transactions on Computational Science & Computational Intelligence.

High Impact Featured Article
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2025

Self-Awareness Mechanism for Top-down Attention using Fuzzy Logic in Sustainable Business Intelligence.

Khan, Muhammad F., Khan, W. A., et al.

Sustainable Business and Society in Emerging Economies 7, no. 2 (2025): 229-238.

Peer-Reviewed Open Access
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2025

Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence.

Abbas, S., Ahmed, F., Khan, W. A., et al.

Scientific Reports, ISSN 2045-2322, 15(1), 1746.

Peer-Reviewed Open Access
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2024

Differentiable Forests: The Random Journey Continues.

Ngangmeni, J., Hazzazi, N., Rawat, D.

Springe Nature Switzerland

Peer-Reviewed Open Access
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2024

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence.

Ahmed, F., Abbas, S., Athar, A., Shahzad, T., Khan, W. A., et al.

Scientific Reports, ISSN 2045-2322, 14(1), 6173.

Peer-Reviewed Open Access
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2022

Intelligent Model for Brain Tumor Identification Using Deep Learning.

Khan, A. H., Abbas, S., Khan, M. A., Farooq, U., Khan, W. A., et al.

Applied Computational Intelligence and Soft Computing, ISSN 1687- 9732, 2022(Article ID 8104054), 1-10.

Peer-Reviewed Open Access
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2022

Differentiable Forests: The Random Journey Continues.

Ngangmeni, J., Hazzazi, N., Rawat, D.

Springe Nature Switzerland

Peer-Reviewed Open Access
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2022

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset.

Alam, T. M., Shaukat, K., Khan, W. A., et al.

Diagnostics, ISSN 2075-4418, 12(9), 2115, 1-16.

Peer-Reviewed Open Access
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2021

Autonomous Vehicle Security Model

Hazzazi, N., Diami, K., Issa, H.

International Conference on Wireless Networks (ICWN 2020). Springer Nature.

Meta-Analysis Highly Cited
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2021

Big Data Management of Hospital Data using Deep Learning and Blockchain Technology

N. Ejaz, R. Ramzan, T. Maryam, S. Saqib

EAI Endorsed Transactions on Scalable Information Systems (8:32)

Meta-Analysis Highly Cited
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2021

Diagnosing the Stage of Hepatitis C Using Machine Learning

MB Butt, M Alfayad, S Saqib, et al.

Journal of Healthcare Engineering (2021:1, Article 8062410)

Meta-Analysis Highly Cited
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2021

Forecast the Influenza Pandemic Using Machine Learning

MA Khan, WUH Abidi, MA Al Ghamdi, etc.

Computers, Materials & Continua 66 (1)

Meta-Analysis Highly Cited
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2021

A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining.

Alam, T. M., Shaukat, K., Hameed, I. A., Khan, W. A., et al.

Biomedical Signal Processing and Control, ISSN 1746-8094, 68(Article ID 102726).

Peer-Reviewed Open Access
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2021

Modeling Habit Patterns Using Conditional Reflexes in Agency.

Khan, Q-T-A., Ghazal, M. T., Abbas, S., Khan, W. A., et al.

Intelligent Automation & Soft Computing, ISSN 1079-8587, 30(2), 539-552.

Peer-Reviewed Open Access
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2021

Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System.

Alam, T. M., Shaukat, K., Khelifi, A., Khan, W. A., et al.

CMC-Computers, Materials & Continua, ISSN 1546-2226, 70(3), 5305-5319, USA.

Peer-Reviewed Open Access
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2021

Using Multimodal Biometrics to Secure Vehicles.

Daimi, K., Hazzazi, N., Saed, M.

Advances in security, networks, and internet of things: proceedings from SAM'20, ICWN'20, ICOMP'20, and ESCS'20 (pp. 567-584). Springer.

Clinical Study Real-World Data
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2020

Prediction of COVID-19 cases using machine learning for effective public health management.

Ahmad, F., Almuayqil, S. N., Humayun, M., Naseem, S., Khan, W. A., et al.

CMC-Computers, Materials and Continua, ISSN 1546-2226, 66(3), 2265-2282, USA

Peer-Reviewed Open Access
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2020

Diagnosis of Heart Disease Using Mamdani Fuzzy Inference Expert System

I. Naseer, B. Shoaib Khan, S. Saqib, etc.

EAI Endorsed Transactions on Scalable Information Systems (7:26)

Peer-Reviewed Open Access
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2017

Effects of Mobile Phone Radiation on Human Health

S. Saqib

Lahore Garrison University Research Journal of Computer Science and IT

Peer-Reviewed Open Access
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