Dr Nicholas Fuggle

Nick Fuggle is an Associate Professor at the MRC Lifecourse Epidemiology Centre (MRC LEC), University of Southampton and an Honorary Consultant Rheumatologist at University Hospitals Southampton. He researches musculoskeletal ageing with a focus on the deployment of computer vision to predict musculoskeletal outcomes. He has held a Turing Fellowship at the Alan Turing Institute and is a co-organiser of the Clinical AI Interest Group. He has received numerous national and international awards including the British Society of Rheumatology Young Investigator Award (2022) and the International Osteoporosis Foundation Pierre Meunier Award (2022). He is Associate Editor of Rheumatology (Oxford) and on the Editorial Board of Osteoporosis International, Calcified Tissues International and Ageing Clinical and Experimental Research. He sits of the board of the European Society for the Clinical and Economic aspect of Osteoporosis, Osteoarthritis and Musculoskeletal Disorders (ESCEO) and is MSK Medical Director of DocHQ.

Dr Nasir Kharma

Dr Nasir Kharma
MRes Imperial College London (Distinction, Dean’s Prize), MBBS King’s College London (Distinction), HBSc University of Toronto (Distinction) | YouTube Educator (1.1M+ subscribers) | Core Surgical Trainee (Orthopaedics-themed), London

Nasir is a London-based Core Surgical Trainee with a strong academic foundation and a growing presence at the intersection of orthopaedics, medical education, and artificial intelligence. He graduated with Distinction in Medicine from King’s College London and was selected for the prestigious London Gold Medal Viva. His undergraduate training was completed at the University of Toronto, where he earned an Honours BSc with Distinction in Molecular Genetics, Biotechnology and Immunology.

Most recently, Nasir completed an MRes in Medical Robotics and Image-Guided Intervention (Clinical Robotics & AI stream) at Imperial College London, graduating with Distinction and receiving the Dean’s Prize for achieving the highest grade in his cohort. His thesis focused on the automatic segmentation of knee structures from MRI using deep learning models to aid in surgical planning via a virtual arthroscopy.

Alongside clinical work, Nasir has presented his academic research at orthopaedic conferences including the British Orthopaedic Trainees Association (BOTA) Annual Conference. He actively engages with the wider orthopaedic community through regular attendance at conferences, online webinars, and staying up to date with emerging technologies. His ongoing academic work includes a systematic review of AI methods for knee MRI segmentation and quality improvement projects focused on meniscal injury management.

Beyond the clinical and academic space, Nasir is passionate about widening access to medicine and improving healthcare education through digital platforms. He is the creator of the YouTube channel KharmaMedic, which has grown to over 1.1 million subscribers and has reached over 100 million views worldwide. His content covers topics including medical school admissions, time management, and study techniques, and has helped thousands of students navigate their path into medicine. His educational impact extends to in person teaching roles at UCL Medical School as an anatomy demonstrator and regional pharmacy teaching schemes at the Royal Free Hospital.

Nasir aims to bridge the gap between clinical medicine, surgical training, and technological innovation. His future goals include contributing to AI-integrated orthopaedic care pathways, being involved in the development and introduction of novel surgical tools and technologies into the orthopaedic operating theatres, and championing evidence based medical education both online and at the bedside. 

 

Ahmed Elgebaly

Ahmed Elgebaly, MD, PhD An Aspiring Clinician Scientist Ahmed Elgebaly is a medical doctor and data scientist whose work focuses on the application of artificial intelligence (AI) to address practical challenges in healthcare and clinical research. He earned his MBBCh degree from Al Azhar University in Egypt in 2018, where he developed an early interest in evidence generation and the use of quantitative methods to improve patient outcomes. Following his clinical training, Elgebaly pursued research opportunities that combined his medical background with emerging computational approaches, ultimately leading him to undertake a PhD at the University of East London. During his PhD, Elgebaly specialised in the practical implementation of artificial intelligence within sports injury research. His work examined how machine learning and predictive analytics could support the detection, assessment, and monitoring of musculoskeletal injuries. This included developing predictive models for injury risk in athletic populations and exploring AI-driven approaches to enhance clinical decision-making in sports medicine contexts. Beyond his primary doctoral research, he contributed to several interdisciplinary projects applying AI to broader healthcare problems, including digital health solutions for early diagnosis, algorithmic assessment of physiological performance, and the integration of data science techniques into clinical workflows. By November 2025, Elgebaly had authored or co-authored 46 research articles in well-reputed peerreviewed Journals, spanning sports science, cognitive neuroscience, and healthcare technology development. His work has focused on the methodological aspects of AI deployment in clinical environments, including issues related to model validation, interpretability, data quality, and system integration. Building on this foundation, Ahmed is preparing to apply for a Clinician Scientist Fellowship. His longterm goal is to establish a career as a clinician scientist who leverages cutting-edge AI techniques to modernize clinical trials and overcome persistent challenges in participant recruitment, engagement, monitoring, and data quality. His long-term goal is to contribute to the development of evidencebased, technologically supported systems that improve the reliability, accessibility, and impact of clinical research within the wider healthcare ecosystem. On the professional side, Ahmed Elgebaly is a senior medical writer with 8 years of experience within the scope of medical writing and medical communications, supporting multinational pharmaceutical companies and contract research organization. Elgebaly particularly specialises in medical writing for peer-reviewed publications (ex., manuscripts, reviews, consensuses, abstracts, posters, etc), systematic reviews, literature reviews, slide decks, speaker briefs, claim documents, and scientific communication materials for advisory boards, symposia, investigator meetings, and continuing medical education (CME) programs. His previous clients included big pharma, such as Johnson & Johnson, AstraZeneca, Sanofi, Pfizer, Astellas, Bayer, Merck, Abbott, Novo Nordisk, Nutricia, Schwabe Pharma AG, and Nestle Health Science