Talks, Seminars and Panels:

• PHG Foundation AI Multiomics, AI and Health Roundtable March 2025

• Royal College of Radiologists AI Global Conference 2025 (Transparency & Bias Panel)

• Royal College of Radiologists AI Global Conference 2025 (Creating and using synthetic medical data using generative artificial intelligence)

• Royal College of Physicians AI Webinar November 2024

• Westminister Insight Next Steps for Data Protection Conference 2024 (AI and Biometric Data Panel)

• PHG Foundation AI Governance Expert Workshop November 2024

• Moorfield's Eye Hospital 2024 (Sociolegal implications of synthetic data)

• AI Summit 2024 (AI for All: Building an inclusive healthcare future with ethical AI)

• University Hospitals Birmingham Renal Forum 2024 (Introduction to AI in healthcare)

• Intermountain Health 'Can You Play' Advisory Council Meeting 2024

• Cambridge University AI in Medicine Society 2024 (The Ethics of AI in Healthcare)

• International Imaging Congress 2023 (Generative AI and synthetic data in healthcare)

• International Imaging Congress 2023 (Access to Medtech: Uncovering Inequalities)

• Behcet's UK Annual Conference 2023 (AI – Challenges, Threats and Opportunities in the NHS)

• Guest Lecture to Microsoft (Synthetic patient data in healthcare)

• Gretel.ai expert roundtable 2023 (Accelerate Data Access in Healthcare: A Fireside Chat)

• Clare College Cambridge 2023 (Clareity: Generative AI and synthetic data in health care)

• Royal College of Psychiatrists Eastern Division 2023 (Generative AI in population health data analytics)

• Moorfield's Eye Hospital 2022 (Digital transformation and organisational science)

• Clare College Cambridge 2022 (Clareity: Generative AI and synthetic data)

• West Suffolk Hospital 2022 (Artificial Intelligence in Healthcare)

• Addenbrooke’s Hospital Grand Round 2022 (Artificial Intelligence in Healthcare)

• Trinity Hall McMenemy Seminar 2022 (Artificial intelligence in health and care)

• Trinity Hall McLuhan Symposium 2022 (Synthetic Data in Ophthalmology)

• VarsitySci 2021 (Artificial Intelligence in Healthcare)

• Cambridge University Research in COVID 2020 (The Respiratory Protection Engineering Task Force)

Selected Conference Posters and Presentations:

• A Arora, D Pell, E van Sluijs, E Winpenny (2020). "Age differences in sleep duration and associations with metabolic health". MedAll International Virtual Medical Conference.

• Thomas, M Ali, A Arora, J Prabhakaran, K Abu-Zeinah, D White, S MacDonald, E Symington (2021). Outcomes of a Bleeding Disorders Diagnostic Multidisciplinary Team Meeting for Diagnosing Unclassified Bleeding Disorder / Bleeding of Unknown Cause. International Society on Thrombosis and Haemostasis 2021 Congress.

• A Arora, A Potluru, A Arora, A Celik, Z Abdi, S Joiya (2022). Automated machine learning (AutoML) for the diagnosis of melanoma skin lesions from consumer-grade camera photos. Presented at: International Virtual Medical Conference: Spring Conference 2022 - Humans in Healthcare. 

• M Byrne et al (2021). Clinical volunteering during COVID-19 and preparedness for FY1. Presented at: Association for the Study of Medical Education Annual Conference.

• E O’Kelly, A Arora, J Ward, PJ Clarkson (2020). How to Improve the Protection Offered by Face Masks. Presented at: The Healthcare Leadership Academy Conference.

• A Arora, M Shanmugasundaram, G Varughese, C Duff, A Fryer, A Nayak (2015). Timing of HbA1c pre-admission: impact on readmission and in-hospital mortality in patients with diabetes. Presented at: Diabetes UK Annual Professional Conference.

• M Byrne et al (2020). Cross sectional survey of medical student volunteering and education during the coronavirus pandemic in the United Kingdom. Presented at: National Research Collaborative Meeting.

• HG Gaddy, A Arora, E Harris (2019). A Guide to Microplastics: Risks and Alternatives. Presented at: Annual Polygeia Conference. 

• A Arora, A Wright, M Cheng, Z Khwaja, M Seah (2020). Innovation Pathways within the NHS: An Introductory Review. Presented at: Annual Polygeia Conference. 

• M Hedman, A Rojas, A Arora, D Ola (2023). Developing and comparing machine learning models to detect sleep apnoea using single-lead electrocardiogram (ECG) monitoring. Presented at: Royal Society of Medicine Respiratory Student and Trainee Prize Meeting.

• M Hedman, A Rojas, A Arora, D Ola (2021). Using artificial intelligence (AI) to diagnose sleep apnoea from single lead ECG signals Presented at: West Midlands Ageing Specialty and ENRICH (ENabling Research In Care Homes) Conference (Won first prize).

• A Arora, A Arora (2023). Synthetic data and generative artificial intelligence in population health data analytics. Presented at: Spring Conference 2023. “Psychosis: What is New” (Won first prize in division). 

• Incision UK (2019). “Global Health Education in Medical Schools”. Presented at: University of Cambridge, Global Health Teaching Review group.