Maryam Arshad

Fellow’s Profile

Maryam Arshad

Fellow’s Profile

Maryam Arshad

Revolutionising healthcare with Cutting-Edge Machine Learning Technologies

Fellowship

Themes

Focus

Exploring how AI transforms healthcare, enhancing efficiency and patient care.

Countries

Fellowship year

2024

Locality

West Midlands

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Biography

I am a lead researcher at King's College London. My work focuses on exploring the tumour microenvironment and immune responses in various cancer types. I have a keen interest in utilising artificial intelligence (AI) and machine learning (ML) for healthcare advancements. My previous work involved using ML to identify cancer risks in patients, which sparked my interest in the broader applications of these technologies. I believe that the use of AI has the power to transform healthcare.

The focus of my Fellowship is to understand how AI and ML are being integrated into healthcare in other advanced countries. Despite the NHS ambitions, current ML platforms are only 30% efficient, posing challenges in data quality, clinician training and biases in algorithmic decision-making. Through my Fellowship, I will explore how advanced healthcare systems have overcome limitations of ML, leveraging transformative potential to enhance UK healthcare through innovation and patient-centred approaches. I aim to share these insights with my colleagues and the wider medical community in the UK, ultimately contributing to improved patient outcomes and an efficient healthcare system.

Disclaimer

All Reports are copyright © the author. The moral right of the author has been asserted. The views and opinions expressed by any Fellow are those of the Fellow and not of the Churchill Fellowship or its partners, which have no responsibility or liability for any part of them.

Disclaimer

All Reports are copyright © the author. The moral right of the author has been asserted. The views and opinions expressed by any Fellow are those of the Fellow and not of the Churchill Fellowship or its partners, which have no responsibility or liability for any part of them.

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