About Us
The ML-Health Research Group focuses on using cutting-edge technologies to advance healthcare and improve the lives of individuals with neurological and other medical conditions. Our mission is to develop innovative solutions for early diagnosis, personalised treatment, and rehabilitation through a multidisciplinary approach that bridges machine learning, biomedical engineering, and clinical sciences.
- Machine Learning and AI: Advanced models for analysing imaging and sensor data to identify biomarkers.
- Sensors and Wearable Technology: Devices to capture real-time data for monitoring motor deficiencies and rehabilitation.
- Prosthetics and Assistive Devices: Engineering solutions to improve quality of life for patients with motor impairments.
- Biomedical Engineering: Novel diagnostic and therapeutic tools developed with clinicians and industry partners.
- Research Dissemination: Public engagement and open-access publishing to maximise impact.
Latest News
🔬 ML-Health at the CORE Event
As part of our ML-Health activities, we attended the CORE event, an informative and motivating gathering organised by MND Scotland and My Name'5 Doddie Foundation.
The event took place on 3rd March 2025 at Dynamic Earth in Edinburgh, bringing together researchers and individuals with lived experience of Motor Neurone Disease (MND).
It was an inspiring day filled with interactive sessions, insightful talks, and opportunities to connect. Engaging discussions sparked new ideas, reinforcing our shared commitment to shaping the future of MND research.
Learn more about MND Scotland ⟶
Published: March 2025
📢 New Publication in Nature Scientific Reports
We are pleased to announce that Dr Marta Vallejo, in collaboration with our clinical partner Prof Jenna Gregory (University of Aberdeen), has recently published a new paper in Nature Scientific Reports.
The study explores advanced machine learning techniques for the identification of biomarkers in Amyotrophic Lateral Sclerosis (ALS), providing insights into neurodegeneration and its clinical implications.
Published: March 2025
🏢 Visit from CPI at The Global Research Institute in Health and Care Technologies
We were delighted to welcome representatives from CPI to The Global Research Institute in Health and Care Technologies. This visit provided a fantastic opportunity to discuss collaborative efforts in advancing healthcare technologies.
Dr Marta Vallejo and Dr Chengjia Wang presented our latest research on Artificial Intelligence and Cancer, highlighting innovative applications of AI in medical imaging and diagnosis.
We look forward to future collaborations with CPI to drive impactful healthcare innovations!
Published: February 2025
🎤 Invited Talk at RCPE 'Professionalism in Medicine'
We are pleased to share that Prof Michael Lones has been invited to give a talk at the upcoming 'Professionalism in Medicine' event on the 4th of March, organised by the RCPE Recently Appointed Consultants' Committee.
The event will focus on the role of Artificial Intelligence in Healthcare, highlighting its transformative potential and challenges in clinical practice.
More information about the event and how to register in here.
Published: February 2025
🎖️ Runner-Up at IEEE UK & Ireland RAS Chapter Conference 2025
We are thrilled to share that Sheena Shabana, a PhD student from the ML-Health Research Group, was awarded Runner-Up in the Poster Presentation Competition at the IEEE UK & Ireland RAS Chapter Conference (RAS 2025), held last week in Belfast!
Her poster showcased our project, "Ultrasound-guided Robotic Thoracentesis in Pleural Effusion Treatment", where we explored the integration of the Franka Emika Robot and Sonon Ultrasound Scanner to enhance the safety and efficiency of medical procedures.
Published: February 2025
