BRITISH BUSINESS ACADEMYRESEARCH AND TEACHING INTERNATIONAL · UNITED KINGDOMUNITED KINGDOM · SINGAPORE · UNITED ARAB EMIRATES
Healthcare technologies and longevity research
Explore ageing biology, genetic and cellular technologies, digital health, sleep and metabolic science, public health environments and the ethical evaluation of emerging longevity interventions.
Research studies, papers and teaching materials related by their questions and methods. A cross-disciplinary connection does not imply that a study was conducted within every linked sector.
What can different traditions tell us about a flourishing human life without erasing their differences? This joint doctoral study examines happiness, self-realisation and meaning through intercultural philosophical comparison and explores their implications for institutions and everyday practice.
Read the research overviewA two-part doctoral manuscript develops an integrated model of preventive care: clinical risk assessment, personalised support, multidisciplinary organisation, digital monitoring and the economics of a premium clinic.
Read the research overviewA thematic reading of separately attributed clinic-management manuscripts examines the organisational, patient and social consequences of digital change in healthcare.
Read the research overviewPlanned studies from the Academy's 80-project agenda. Each detailed page contains a research problem, hypothesis, proposed methods, work packages and sources.
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Can organisations reduce knowledge loss without excluding older employees from digital transformation?
Which governance arrangements prevent fragmentation across telehealth, diagnostics and in-person follow-up?
Can patient-centred quality improvement coexist with viable service economics?
When do digital solutions widen rather than narrow access disparities?
How can clinics distinguish promising intervention hypotheses from evidence of clinical benefit?
When does worker monitoring cease to be meaningfully voluntary?
Which features of appeal systems produce procedurally fair outcomes?
How should researchers weigh public benefit against re-identification and consent risks?
When do digital twins improve operational decisions rather than simply visualise existing dashboards?
Can software and workload scheduling reduce electricity demand without sacrificing service levels?
What evidence is needed to disclose and verify AI assistance in academic writing?
How should product teams balance speed, evidence and patient safety?
How can researchers avoid mistaking executive narratives for verified organisational facts?
When do synthetic datasets support legitimate method development but fail substantive inference?
Can qualitative scenarios be transparent enough for independent critique?
Can fairness conclusions remain stable when populations and inputs change?
Which evaluation designs distinguish transformation effects from business-cycle noise?