Artificial Intelligence in Biomedical Engineering
COURSE DESCRIPTION
The course of Artificial Intelligence (AI) in Biomedical Engineering introduces the application of AI in biomedical engineering, focusing on medical image analysis, personalized medicine, and pharmaceutical innovation. Learners explore how AI techniques transform diagnostics, patient-specific treatments, and drug discovery. The course is designed to provide a structured pathway to mastering AI applications in healthcare, equipping participants to implement these technologies in clinical and research settings. Designed for medical professionals, including doctors, nurses, and biomedical engineers, the participants will gain practical knowledge of AI applications in medical diagnosis, personalized medicine, and healthcare delivery optimization through pre-recorded lectures, exemplary publications, and interactive assessments. Upon completion, learners will be adept at interpreting AI-generated diagnostic results and navigating the ethical and regulatory frameworks that shape healthcare innovation..
- Instructor: Junaid Mir
Cybersecurity in Healthcare and Biomedical Engineering
This course is designed to equip Biomedical Engineering graduates and practicing professionals with the essential knowledge required to address emerging cybersecurity challenges in modern healthcare environments. With the rapid digital transformation of healthcare systems—ranging from electronic health records and telemedicine platforms to interconnected medical devices and IoT-based monitoring systems—the flow of sensitive health data across shared and networked infrastructures has significantly increased.
The course provides a comprehensive understanding of how these advancements have reshaped healthcare service provisioning, while simultaneously introducing critical vulnerabilities and security risks. Participants will explore key concepts in healthcare cybersecurity, including data privacy, secure communication protocols, risk assessment, threat modelling, and regulatory compliance relevant to healthcare systems.
The course also highlights strategies for securing medical devices, hospital networks, and health information systems against cyber threats such as unauthorized access, data breaches, ransomware, and system manipulation.
By the end of this course, learners will be able to understand cybersecurity risks in healthcare settings making them industry-ready professionals capable of contributing to secure and resilient healthcare infrastructures.
- Instructor: Syed Amjad Ali
Digital Transformation in Healthcare Delivery System
This course, Data Analytics for System-Wide Transformation in Healthcare, introduces the application of data analytics to drive improvements in healthcare delivery systems. It covers key concepts such as health data management, predictive and prescriptive analytics, and data visualization to support clinical and operational decision-making.
The course explores the role of data analytics in digital healthcare transformation, including clinical decision support, operational efficiency, and improved patient outcomes. It also provides an overview of Electronic Health Records (EHRs), including their structure, interoperability, and implementation challenges, as well as emerging trends in healthcare information systems.
In addition, students will examine telemedicine technologies, their infrastructure, applications, and key considerations such as data security and patient privacy. Through case studies and practical activities, participants will develop the skills to design and evaluate data-driven healthcare solutions.
- Instructor: Prof. Sidra Abid Syed
Advanced Biomedical Devices and Industry 5.0
This course explores the evolution of biomedical devices from Biomedical 5.0, with a strong focus on wearable and implantable technologies based on human-machine collaboration and advancements which are revolutionizing healthcare. Students will understand the design, development & integration of cutting-edge technologies like AI, IoT, robotics, and immersive technologies (VR/AR) in modern biomedical applications, aligned with Industry 5.0.
- Instructor: Prof. Fahad Azim
Digital Literacy for Biomedical Engineers and Healthcare Professionals
Course Description:
This course provides a comprehensive introduction to digital literacy in the context of modern healthcare systems. It is designed to equip Biomedical engineers and healthcare professionals with the knowledge and skills required to effectively engage with emerging digital technologies transforming healthcare delivery.
The course explores key components of digital healthcare, including electronic health records (EHR/EMR), telemedicine and mobile health (mHealth), artificial intelligence (AI), wearable and remote monitoring technologies, and data-driven clinical decision support systems. It also examines the broader framework of digital transformation and the transition toward Industry 5.0, emphasizing human-centered, ethical, and sustainable healthcare innovation.
Alongside technological concepts, the course addresses important considerations such as data management, interoperability, cybersecurity, and regulatory frameworks. Emphasis is placed on how these elements come together in real-world healthcare settings, as well as the practical challenges involved in adopting and implementing digital solutions.
By the end of the course, participants will be able to understand, evaluate, and apply digital tools and technologies to enhance healthcare delivery, improve patient outcomes, and support efficient and ethical clinical practices.
- Instructor: Dr. Sarmad Shams