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AI-driven technologies in women’s healthcare

There is a gender data gap in healthcare that results in gender bias, even in the UK. This means that women’s biological and socio-economic differences are not properly considered, resulting in inadequate healthcare treatment, or even wrong treatment protocols. 

This project explores a niche area of AI in women’s healthcare with the aim to investigate the key factors for under-representation, the impact it can have on women’s legal rights in health, and to pivot the ethical use of AI-driven technologies for women’s healthcare. This allows for an evaluation of the UK’s achievement rates of the SDGs, and to propose ethically-designed AI-driven technologies that can contribute to, or accelerate the achievement rates of the SDGs.

The purpose of our research is to produce empirical evidence on the lack of scholarship regarding AI-driven technologies in women’s healthcare and their links to the UN SDGs, and to identify approaches to how AI-driven technologies can assist in accelerating the UN SDGs. 

Ultimately, we are proposing not only a refined methodology for opening pathways of discussions into sustainability in women’s healthcare; but we also make the following hypotheses: (i) that AI helps to influence in a more efficient manner, how informed health choices are made by individuals (the stakeholders envisaged in the project); and (ii) that as a result of (i), AI-driven technologies assist governmental policies and the regulatory environment in achieving the UN SDGs 3 & 5.


Meet the Principal Investigator(s) for the project

Pin Lean Lau - Pin Lean is a Lecturer in Bio-Law at Brunel Law School, joining Brunel University London in January 2021. A former practising barrister and solicitor, she was a corporate-commercial attorney working primarily in corporate finance, mergers and acquisitions and general corporate advisory matters. Prior to joining Brunel University, she was an attorney on secondment with the Legal Services Team (based in Belgrave, London) in the General Counsel's Organization of American Express International, where she was a key senior legal counsel for the Asia-Pacific region.  Pin Lean is a member of the Brunel International Law Research Group, and Living Avatars Research Group; and an active member of the Centre for Artificial Intelligence: Social & Digital Innovations, and was selected to join the first Brunel Research Interdisciplinary Lab (BRIL) in September 2021. Externally, she is part of the ELSI2.0 Workspace, an international collaboratory on genomics and society research; a member of the European Association of Health Law (EAHL), and a General Manager of the Interest Group on Supranational Bio-Law of the EAHL; and a member of the Daughters of Themis: International Network of Female Business Scholars. She has held visiting fellowships with the Centre for Health, Law and Emerging Technologies (HeLEX), NDPH (Medical Sciences Division), University of Oxford; the Centre for Ethics and Law in the Life Sciences (CELLs) at the University of Hannover, Germany; and participated in the Centre for Ethics and Law in Biomedicine (CELAB) in Central European University, Hungary. She is also a member of the newly launched global Responsible Metaverse Alliance.  Her research encompasses European, international, and comparative law for genome editing (with a focus on pre-implantation genetic diagnosis, reproductive technologies and women's bodies; and the proliferation of virulent gene-edited pathogens and global bio-security); propertization and commodification studies of genetic materials and biomedical technologies; the ethico-legal governance for artificial intelligence (AI) systems (with a focus on protection of fundamental rights, spatial 'body citizenship' and bio-constitutional implications of the AI-augmented biological human body, and AI in women's health); and technologies horizon scanning and legal future foresighting for new and emerging technologies and environments, such as the Metaverse. She has written widely on topics straddling the fringes of laws, technologies and society, and has been invited as a speaker by many national and international organisations, including on podcasts relating to technologies, and media interviews with news organisations in the UK, US, France, Germany, Brazil, Hungary, Malaysia, Japan, and India. Recently, she was invited as an expert panelist by the UK regulatory alliance, the Digital Cooperation Regulation Forum (DRCF) in its first Metaverse Symposium. She has also consulted as an expert with the UK Law Society on technologies and horizon scanning in its Future Worlds 2050 Project.  Pin Lean recently completed working on a multi-trust funded priject for the World Health Organization (WHO), Food and Agriculture Organization (FAO) and the OiE (World Organization for Animal Health), on developing and piloting of a Tripartite One Health Assessment Tool for Antimicrobial Resistance Relevant Legislation. She also completed a project with researchers from the EAHL to produce a Joint Statement for the European Commission's 2021 Thematic Networks, with a proposal for Health as a Fundamental Value, as part of the EU Pharmaceutical Strategy. She is currently leading a project on AI-driven technologies in women's healthcare, funded by the Institute for Communities & Society. Besides this, she is also working on several book projects, including health and IP rights in EU health law, and EU health databases: Eudravigilance; Eudamed; Clinical Trials database; and Eudra-GDP database for the Oxford University Press Encyclopaedia on EU Health Law; on the EU Draft Law for Artificial Intelligence and data protection; and on AI gender data gap and data feminism in women's healthcare. She is also a contributor in the EuroGCT Project (European Gene & Cell Therapy Project) funded by the European Commission's Horizon 2020 Work Programme, contributing in the area of data misuse and mission creep in EU health laws relating to patient involvement and patient data.  

Partnering with confidence

Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.


Project last modified 07/09/2022