Transforming our future: prediction, prevention and early diagnosis in healthcare

17 - 18 February 2026 09:30 - 17:00 The Royal Society Free Watch online
Abstract image of blood droplet and double helix

On Tuesday 17 and Wednesday 18 February 2026, the Royal Society will hold a conference on prediction, prevention and early diagnosis in healthcare.

This two-day conference will bring together leading voices from industry, academia, government, and the wider healthcare community to explore the innovative science that is transforming our approach to disease prediction, prevention and diagnosis. Through talks and panel discussions, we will examine recent advances in both technological and population-based approaches, as well as the complex challenges associated with implementation.

Transforming our Future conferences

This conference forms part of the Royal Society's industry-focused Transforming our Future series. These unique meetings showcase cutting-edge science and bring together experts to explore and address key scientific and technical challenges of the coming decade.

Attending this event

In-person attendance is limited and by invitation only. Please contact industry@royalsociety.org to enquire about whether any places are available.

This conference is supported by AstraZeneca and GSK.

Organisers

  • Photo of Peter Donnelly

    Professor Sir Peter Donnelly FRS

    Professor Sir Peter Donnelly FMedSci FRS is CEO and Co-Founder of Genomics Ltd and Emeritus Professor of Statistical Science at the University of Oxford, where he was Director of the Wellcome Centre for Human Genetics from 2007–2017, and Head of Department of Statistics from 1996–2001. Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. It featured in the Sunday Times 100 Tech 2025 as one of the UK’s fastest-growing private tech companies and was recently named as one of Newsweek’s "UK’s 100 most loved workplaces". Peter played central roles in the major national and international human genetics projects of the last 20 years, including the International HapMap project and the landmark Wellcome Trust Case Control Consortium (WTCCC, WTCCC2) which he led, a large international collaboration studying the genetic basis of more than 20 common human diseases and conditions in over 60,000 people. He also led the genotyping of UK Biobank, and the WGS500 project, which pioneered whole genome sequencing in clinical medicine and led to the UK NHS 100,000 Genomes project. His other substantive academic contributions are in mathematical and population genetics, including the development of coalescent theory, and in understanding meiotic recombination. He is one of the global leaders in the development of statistical and machine learning algorithms to analyse and extract insights from modern genomic "big data". Peter has received numerous awards for his research, including lifetime achievement awards from the Genetics Society and the American Society of Human Genetics, and a knighthood in the 2019 Queen’s Birthday Honours for services to the understanding of human genetics in disease. His TED talk has been downloaded more than 1.5 million times and his academic papers cited over 100,000 times.

  • Photo of Sue Hill

    Professor Dame Sue Hill

    Professor Dame Sue Hill DBE FMedSci FRSB FRCP(Hon) FRCPath (Hon) FHCS (Hon) is the Chief Scientific Officer for England and the NHS in England, is the Head of Profession for the scientific workforce and provides scientific leadership and advice for the wider health and care system. A respiratory scientist by background, she has an international academic and clinical research reputation. Dame Sue leads and directs Genomics in the NHS, driving the world-leading programme to introduce a nationwide Genomic Medicine Service working in partnership between the NHS and academia, industry, UK and international governments/initiatives, building on her work in heading up the NHS contribution to the world-leading 100,000 Genomes Project. Sue was made a Dame Commander in 2018 in recognition of the scale of her contribution to British genomics, having previously been awarded an OBE in 2005 in recognition of her services to healthcare science.

  • Image of Steve Rees

    Steve Rees OBE

    Steve Rees is Senior Vice-President of Discovery Sciences at AstraZeneca with responsibility for the discovery of novel drug candidates, using multiple therapeutic modalities, for projects for all AstraZeneca therapy areas. Prior to his current appointment Steve held positions of increasing responsibility at AstraZeneca including leadership of the Discovery Biology and Screening Sciences and Sample Management departments. Prior to joining AstraZeneca, Steve worked at GlaxoSmithKline for 24 years. He has served as Chair of the European Laboratory Research and Innovation Group, Chair of the European Council of the Society of Laboratory Automation and Screening and as Industry Trustee of the British Pharmacological Society and is a member of the Royal Society Science, Industry and Translation Committee. Steve was awarded an OBE by Her Majesty the Queen in 2021 for services to science and the COVID19 response.

  • Image of Tony Wood

    Dr Tony Wood FRS

    Tony Wood was appointed Chief Scientific Officer designate on 19 January 2022 and became Chief Scientific Officer, with full accountability for GSK R&D, with effect from 1 August 2022.

    Tony is a highly respected scientist and one of the world’s pre-eminent medicinal chemists, with more than 30 years of experience working across diverse disciplines of R&D to deliver innovative medicines. He joined GSK from Pfizer in 2017 as Senior Vice President, Medicinal Science and Technology, responsible for all science and technology platforms supporting the delivery of new medicines.

    He has led large-scale global organisations in drug discovery and development in multiple therapeutic areas, including immunology, oncology and infectious diseases. Tony has been integral to delivering the recent improvements in GSK’s R&D productivity and central to developing its R&D approach focusing on science of the immune system, human genetics and advanced technologies. He built GSK’s functional genomics and AI/ML organisations from the ground up, and was the architect of collaborations with UK biotech Adrestia, Oxford University, and the Laboratory for Genomics Research with Jennifer Doudna.

    Tony invented an HIV antiviral medicine for which he won several international awards including the PhRMA Discoverers Award, the Prix Galien USA, the ACS Heroes of Chemistry Award, and the UCB Ehrlich Award from the European Federation of Medicinal Chemistry.

    Tony has lived and worked in both the UK and the US. He is a Fellow of the Academy of Medical Sciences, a Fellow of the Royal Society of Chemistry, from whom he has also received an Honorary Fellowship, and a Fellow of the Royal Society of Biology. Tony was closely involved with the UK Government’s COVID-19 planning, notably establishing the GSK/AstraZeneca/Cambridge University testing facility at the University’s Anne McLaren Laboratory.

    Tony has a BSc in chemistry and PhD in organic synthesis from the University of Newcastle, and was a postdoctoral fellow at Imperial College, London.

Schedule

09:30-09:35
Sir Mark Walport FRCP FMedSci HonFRSE FRS

Sir Mark Walport FRCP FMedSci HonFRSE FRS

The Royal Society

09:35-09:40 Introduction to the opening plenary
Sir Mark Walport FRCP FMedSci HonFRSE FRS

Sir Mark Walport FRCP FMedSci HonFRSE FRS

The Royal Society

09:40-10:05 Prediction, prevention and early diagnosis in healthcare: practical issues
Professor Chris Whitty FRS

Professor Chris Whitty FRS

Chief Medical Officer for England

10:05-10:30 The economics of prevention
Professor Andrew Scott

Professor Andrew Scott

Ellison Institute of Technology Oxford, and London Business School

Chair

Photo of Peter Donnelly

Professor Sir Peter Donnelly FRS

Genomics Ltd

11:00-11:05 Introduction to Session 1
Professor Sir Peter Donnelly FRS

Professor Sir Peter Donnelly FRS

Genomics Ltd

11:05-11:20 From population data to personalised care: the evolution of clinical risk prediction

This lecture will examine the evolution of clinical risk prediction from its origins in population-based epidemiology to its routine use in personalised clinical care. It will describe the first use of large-scale electronic health records to develop and validate clinical risk models, and how these approaches have matured through continual updating as evidence, data quality, and clinical needs have evolved. Focusing on tools such as QRISK, Cancer, and related models, the talk will highlight how rigorous methodological development coupled with implementation science has enabled widespread adoption across the NHS, where these tools are now used over ten million times annually. The lecture will conclude by considering future directions for risk prediction to support prevention, early diagnosis, and equitable, data-informed healthcare.

Professor Julia Hippisley-Cox

Professor Julia Hippisley-Cox

Queen Mary University of London

11:20-11:35 Genetic risk scores as an anchor for predictive population health

The rapid confluence of advanced data-science, computing power, and falling sequencing costs, alongside exploding expenditure on healthcare, necessitates a fundamental transformation toward predictive and preventive health care. This shift requires a rethinking of population level care delivery and a move away from traditional, single-disease silos. The contribution of genetics toward the risk of all common complex diseases is now understood, yet it remains a critical missing factor in the current delivery of population health. This talk will explore genetic risk scores, examining their predictive power and outlining how they can quickly become the cornerstone for implementing data-driven population health strategies.

Dr Seamus Harrison

Dr Seamus Harrison

Genomics Ltd

11:35-11:50 Ageing, clonal expansions and cancer risk: what can we learn from haematopoiesis?

Can we predict cancer? Are pre-cancerous growths an inevitable feature of ageing? Is cancer prevention a realistic goal? From the moment a human zygote undergoes its first cell division, its genetic material is susceptible to alteration, and this process of mutation acquisition continues inexorably throughout life in all cells. Within tissues, stem cells compete for dominance in a process of natural selection; if a stem cell acquires a mutation that improves fitness, it expands clonally. Two fundamental facts about these clonal expansions are clear: first, they become ubiquitous with age and, second, while they represent a step on the path towards cancer, they rarely progress. In this talk, I will describe our work on the blood system, including its behaviour during normal ageing and on progression towards leukaemia, and whether we can predict this transition. I will share how we are translating these basic discoveries into clinical practice. I will also describe our work to leverage population-scale data to develop risk-prediction tools more broadly across diseases.

Dr Margarete Fabre

Dr Margarete Fabre

AstraZeneca and University of Cambridge

11:50-12:00 Q&A

13:00-13:05 Introduction to Session 2
Professor Sir Peter Donnelly FRS

Professor Sir Peter Donnelly FRS

Genomics Ltd

13:05-13:20 Personalising CV risk — the way forward

CVD prevention is a timing problem. The UK has the tools to solve it:

  • Find FH in childhood, not after the first MI
  • Assess risk from 25, using both 10-year and lifetime perspectives
  • Layer in genetics – PRS for selected younger adults and one-time Lp(a) for all – to uncover hidden risk
  • In established disease, treat to ESC targets, not just to the QOF line in the sand

This is not overreach; it is a rational update to match the evidence. If we act now, the next decade can bring fewer heart attacks and strokes, narrower inequalities, and lives prolonged not just by years, but by healthy years.

Professor Ahmet Fuat 

Professor Ahmet Fuat 

Orchard Court Surgery Darlington and Durham University

13:20-13:35 Beyond the statistics: behavioural impacts of risk prediction

Being able to estimate risk of disease more accurately has the potential to improve health outcomes and resource allocation within the healthcare system. Realising these benefits requires an understanding and appreciation of the behavioural impacts of risk, both at the individual level and population level. At an individual, risk perception is not as simple as recalling a number and the processing of risk information is not purely ‘rational’ or ‘objective’. Instead, an individual’s perception of risk is based on a complex integration of cognitive and social biases arising from cultural and personal experiences and theories of disease and risk. At a population level, transparency about how risk is estimated and used, consideration of which risk factors are included and how they are obtained, and clear communication are all essential to ensure public acceptability and reduce potential increases in health inequalities.

Dr Juliet Usher-Smith

Dr Juliet Usher-Smith

University of Cambridge

13:35-13:50 From genes to prevention: using genomics to identify those most at risk of obesity

Obesity is a major public health challenge that often begins in childhood and persists into adulthood, underscoring the need for early-life predictors of risk. Genetic variants, fixed at conception, offer a promising avenue for such prediction. Recent advances in polygenic scores (PGSs) have improved the ability to quantify inherited susceptibility to complex traits, including obesity. A newly developed PGS, derived from data on 5 million individuals, explains up to 18% of the variation in BMI and shows strong predictive performance (AUC-ROC > 0.80) for severe obesity (BMI ≥ 40 kg/m²). Children with higher PGSs exhibit accelerated BMI gain from age 2.5 through adolescence, including earlier adiposity rebound. Incorporating the PGS into birth-based predictors nearly doubled explained BMI variance from age 5 onward, and improved prediction of BMI at age 18 when added to early-life BMI. These findings highlight the potential of PGSs to enhance early identification of individuals at elevated obesity risk.

Professor Ruth Loos

Professor Ruth Loos

University of Copenhagen, Novo Nordisk Foundation Center for Basic Metabolic Research

13:50-14:00 Q&A

Chair

Photo of Sue Hill

Professor Dame Sue Hill

Chief Scientific Officer for England and Senior Responsible Officer for Genomics in the NHS

14:20-14:25 Introduction to Session 3
Professor Dame Sue Hill

Professor Dame Sue Hill

Chief Scientific Officer for England and Senior Responsible Officer for Genomics in the NHS

14:25-14:40 Developing a strategic approach to population-based discovery science

For the quantification of the combined effects of lifestyle, environment, genotype and other exposures on health outcomes, prospective observational studies with stored biological samples have a number of advantages. In particular, risk exposures can be assessed prior to disease development, which helps avoid reverse causality. However, since only a minority of participants will develop any particular disease, they typically need to involve hundreds of thousands of individuals followed for many years in order to provide reliable estimates of the associations of risk factors with disease. Establishing some large, accessible, prospective studies in settings with different risk factor levels (in order to extend the range of exposures studied) and different disease incidence rates (in order to extend the range of diseases that can be studied) would be a cost-effective way of providing widely generalizable evidence about the relevance of the full range of human exposures to many different health conditions.

Professor Sir Rory Collins FRS

Professor Sir Rory Collins FRS

UK Biobank

14:40-14:55 Our Future Health: The world’s largest consented cohort and resource for population health, genomics and prevention research

Our Future Health – established specifically to provide the evidence base for new approaches to prediction, early detection, early intervention and prevention of common chronic disease – is the largest longitudinal health research cohort and clinical trials resource in the world with over 2.5 million consented participants with linked primary and secondary care health data, and over 1.5 million with genomic data and biobanked samples. The cohort is also the most diverse ever recruited with over 1 million participants from historically under-represented groups (ethnic minorities, younger adults, more deprived populations and coastal/rural populations from all four home nations) thereby ensuring our research will benefit all parts of the population and help to reduce health inequalities. In 2026, Our Future Health will launch the world’s largest population-scale precision trials platform – accelerating recruitment, broadening participation, and enabling the next generation of diagnostics, therapeutics, and prevention strategies to be tested in real‑world populations.

Professor Raghib Ali

Professor Raghib Ali

Our Future Health

14:55-15:10 Genomics England: Linking clinical care and research to support better prediction, prevention and early diagnosis 

Genomics England’s mission is to provide the evidence and digital systems so that by 2035 genomics could play a role in up to half of all healthcare interactions, and to secure the UK’s position as a leading place to discover, prove and benefit from genomic innovations. We do this by working in close partnership with the NHS, experts in industry and academia, the public and research participants: providing data services to support national scale use of genomics in clinical care; providing researchers with access to data from individuals who provide consent as part of routine care or our research cohorts; and we run targeted research studies to develop evidence on potential future uses of genomics for health benefit such as through the Generation Study exploring newborn genomic screening and our upcoming Adult Population Genomics Programme that will include a major focus on pharmacogenomics.

Dr Richard Scott

Dr Richard Scott

Genomics England

15:10-15:25 Creating a genomics-ready health system through the Singapore National Precision Medicine Program

The Singapore National Precision Medicine Program is a 10-year program that aims to incorporate genomic data alongside other data about our patients in a way that allows them to optimize their health and wellbeing. In the first 2 phases of the program, the focus was on building capacity for genetic testing in Singapore, and to develop an understanding of how genetics contributes to chronic diseases in population cohorts. In the next phase of the program, the goal is to transform the healthcare system to one that is ready for leverage on the advances in genomic technologies at a population level. Some key elements of the strategy include: 1) aggregation of demand and building capacity for whole genome sequencing at a cost so that it is no longer a rate limiting step for access to genetic testing; 2) building the digital infrastructure that would allow for storage of whole genome sequence data and appropriate analysis and return to the health system, providers and patients; and 3) developing as many validated use cases for using genetic data across the life course of an individual. All this is carried out with careful consideration of the need for policy, governance and/or legislation that will allow the use of the data in a way that is aligned with societal values and protects the individuals against discrimination while ensuring equitable access.

Professor E Shyong Tai

Professor E Shyong Tai

Precision Health Research Singapore and National University of Singapore

15:25-15:40 Q&A

Chair

Image of Tony Wood

Dr Tony Wood FRS

GSK

16:00-17:10 Panel discussion
Baroness Nicola Blackwood

Baroness Nicola Blackwood

House of Lords

Rosalind Campion

Rosalind Campion

Academy of Medical Sciences

Sir Jonathan Symonds

Sir Jonathan Symonds

GSK

Lawrence Tallon

Lawrence Tallon

Medicines and Healthcare products Regulatory Agency (MHRA)

17:10-17:15 Closing remarks
Dr Tony Wood FRS

Dr Tony Wood FRS

GSK

09:30-09:35
Sir David Baulcombe

Sir David Baulcombe

Cambridge University

Chair

Image of Ed Piper

Dr Edward Piper

AstraZeneca

09:35-09:40 Introduction to Session 4
Dr Edward Piper

Dr Edward Piper

AstraZeneca

09:40-09:55 Concept to implementation of an early diagnostic: lessons from the oesophagus

Society and individuals are seeking a more pro-active approach to diagnosing cancer earlier, at a stage when it can be treated more effectively and with fewer side effects. In this paradigm rather than a re‑active symptom-based approach, individuals are invited to undergo tests to find cancer and treat it earlier, including before symptoms are apparent. This requires a deep understanding of who is at risk and the test characteristics in the intended to screen population – usually this involves largescale trials with a long lead time. Aside from the test one needs to consider the health economics and downstream clinical pathways as well as the accessibility and acceptability of the test. In this talk I will describe the work we have done to develop a targeted approach to earlier diagnosis for cancer of the oesophagus, where we are up to on the journey from concept to implementation and how our learnings can be applied to transforming our future for earlier detection of cancer.

Professor Rebecca Fitzgerald FRS

Professor Rebecca Fitzgerald FRS

University of Cambridge

09:55-10:10 Targeted screening for prostate cancer using germline genetics

There is evidence for genetic predisposition to prostate cancer (PrCa) from twin and other epidemiological studies. Germline genetic variation is composed of rarer genetic variants, many of which are in DNA repair genes in about 7–13% of cases. The largest component of genetic predisposition is due to common variants, most of which are in non-coding regions. The latest common variant genomic profile comprises 451 single nucleotide polymorphisms [SNPs] and informs on risk applicable to individuals of diverse ancestries. We have shown in international targeted screening studies (IMPACT) that annual PSA in those who harbour germline pathogenic variants in the BRCA1/2 genes have a higher incidence of clinically significant disease. In the BARCODE1 study in the UK, polygenic risk scores in men of European origin in the top 10% of the risk distribution from common variants have a higher PrCa incidence and higher incidence of clinically significant cases that need radical treatment than is found in population-based PSA screening studies. These data show that germline genetics can be used to identify individuals at increased PrCa risk that is clinically significant and would therefore be useful for targeted screening programmes.

Professor Ros Eeles

Professor Ros Eeles

The Institute of Cancer Research / The Royal Marsden NHS Foundation Trust

10:10-10:25 Personalising breast screening

The UK breast screening programme currently offers mammography every three years to women between 50–70 years assessed by two human readers. Women with a very strong family history (<2% of the population) are offered annual MRI with mammography and those women at intermediate risk have annual mammography from age 40 years. Using risk questionnaires about family history, hormone usage and lifestyle together with genetic information and single nucleotide polymorphisms and breast density we can stratify women into lower or higher than average risk. More appropriate imaging tools can be used to detect more cancers in dense breasts. AI tools are now available for detection of cancers and short term prediction of those women who are more likely to develop a breast cancer in the next three years. Cost‑effectiveness models suggest introducing abbreviated MRI would come within the UK funding threshold. This talk will focus on the evidence and what needs to change in breast screening.

Professor Fiona Gilbert

Professor Fiona Gilbert

University of Cambridge

10:25-10:40 Genomics-driven targeting of metastasis and therapy resistance

Metastasis remains a leading cause of cancer-related mortality, irrespective of the primary tumour origin. However, the core gene regulatory program governing distinct stages of metastasis across cancers remains poorly understood. We investigate this through single-cell transcriptome analysis encompassing over 200 patients with metastatic and non-metastatic tumours across six cancer types. Our analysis revealed a prognostic core gene signature that provides insights into the intricate cellular dynamics and gene regulatory networks driving metastasis progression at the pan-cancer and single-cell level. Notably, the dissection of transcription factor networks active across different stages of metastasis, combined with functional perturbation, identified SP1 and KLF5 as key regulators, acting as drivers and suppressors of metastasis, respectively, at critical steps of this transition across multiple cancer types. Through in vivo and in vitro loss of function of SP1 in cancer cells, we revealed its role in driving cancer cell survival, invasive growth, and metastatic colonisation. Furthermore, tumour cells and the microenvironment increasingly engage in communication through WNT signalling as metastasis progresses, driven by SP1. Further validating these observations, a drug repurposing analysis identified distinct FDA‑approved drugs with anti-metastasis properties, including inhibitors of WNT signalling across various cancers. We employed similar approaches to successfully target chemoresistance across various cancers.

Professor Vijay Tiwari

Professor Vijay Tiwari

Institute of Molecular Medicine, SDU, Odense, Denmark

10:40-10:50 Q&A

Chair

Image of Ed Piper

Dr Edward Piper

AstraZeneca

11:20-11:25 Introduction to Session 5
Dr Edward Piper

Dr Edward Piper

AstraZeneca

11:25-11:40 Re-imagining viral diagnostics using microscopy and machine learning

The COVID-19 pandemic highlighted significant gaps in current viral diagnostics: laboratory-based molecular tests are highly sensitive but slow and resource-intensive, while home and point-of-care assays offer speed at the cost of accuracy and adaptability. This talk introduces a novel machine-learning-based diagnostic approach that bridges this divide by enabling the rapid and accurate diagnosis of a wide range of viral targets without laboratory infrastructure. The platform is broadly applicable to both known and newly emerging viral pathogens and delivers results in as little as one minute, opening new possibilities for home and point-of-care testing and improved pandemic preparedness.

Dr Nicole Robb

Dr Nicole Robb

University of Warwick

11:40-11:55 Early diagnosis for cardiovascular risk — extracting more value from CT imaging

Diagnosis of coronary artery disease and other important cardiovascular conditions is increasingly based on CT scans, including CT coronary angiograms (CTCA), to detect the development of plaque in the coronary arteries that may progress to cause narrowing or blockage – the cause of heart attack or death. However, most heart attacks and deaths in the ten years after a CCTA occur in those without significantly narrowed or blocked coronary artery. This is because biological disease activity is not visible on routine scans, and plaque or narrows are a late consequence of the disease. Changes in the fat tissue around the coronary artery mirrors inflammation in the artery wall, and can be quantified from routine CCTA scan datasets using AI. This clinical biomarker of coronary artery inflammation predicts heart attack and death, even in people with minimal or no plaque. This technology is now being evaluated in NHS hospitals and as a tool for guiding clinical trials of new drugs to target coronary inflammation. Generation of bespoke molecular biomarkers from tissue, combined with radiomic analysis of imaging scans, linked with clinical outcomes, is a powerful new approach to clinical drug development, risk prediction and optimal targeting of treatments.

Professor Keith Channon

Professor Keith Channon

University of Oxford

11:55-12:10 The need for early, precise diagnosis for dementia and related neurodegenerative conditions

Dementia and related neurodegenerative conditions represent a significant, and growing, health and economic burden worldwide. Treatments are starting to emerge but there is an urgent need for minimally-invasive, cost-effective, scalable and globally-relevant biomarkers and tools in order to facilitate trials that target the right individuals with the right interventions at the right time. Most neurodegenerative conditions have a preclinical phase stretching over years and decades, representing a window of opportunity to intervene. The emergence of multimodal brain health “measures” integrating genetics (polygenic risk score), digital (eg sleep sensors) and blood biomarkers will begin to address disease heterogeneity and allow more targeted stratified trials - inclusion and monitoring/outcomes. Early, precise diagnosis will transform the outcomes of millions living with or at risk of dementia and associated neurodegenerative conditions worldwide.

Professor Siddharthan Chandran

Professor Siddharthan Chandran

UK Dementia Research Institute

12:10-12:25 Innovative approaches to early diagnosis of long-term conditions

Early detection of long-term conditions enables prompt, guideline-based treatment, improving outcomes for both individuals and the wider population. Artificial intelligence (AI) provides multiple novel opportunities to support clinicians with diagnosis from image interpretation to pattern recognition in medical records. AstraZeneca seeks to support transformation of healthcare through the application of innovative approaches to diagnosis; two differentiated approaches will be described. In the first, community-based diagnosis of breathlessness in partnership with Everton in the Community tested the hypothesis that incident cases of chronic obstructive pulmonary disease (COPD) and heart failure (HF) could be identified using novel screening technology. The second approach explored AI-enabled early diagnosis of ATTR amyloidosis, a rare cause of heart failure that typically presents late and with a poor prognosis.

Dr Edward Piper

Dr Edward Piper

AstraZeneca

12:25-12:35 Q&A

Chair

Photo of Sue Hill

Professor Dame Sue Hill

Chief Scientific Officer for England and Senior Responsible Officer for Genomics in the NHS

13:30-13:35 Introduction to Session 6
Professor Dame Sue Hill

Professor Dame Sue Hill

Chief Scientific Officer for England and Senior Responsible Officer for Genomics in the NHS

13:35-13:50 Rare disease as a proof of concept for innovation in healthcare

Rare diseases present some of the most complex challenges in healthcare, yet they also offer a powerful proving ground for innovation. This talk explores how rare disease research can act as a proof of concept for new scientific, clinical, regulatory, and delivery models, demonstrating what is possible when urgency, collaboration, and patient‑centric design are aligned. By examining rare disease as a catalyst rather than a niche, the session highlights how innovations developed at the margins can be scaled to transform healthcare systems more broadly.

Dr Harriet Holme

Dr Harriet Holme

Exec Chair PCD Research, Drug Development Clinician Weatherden

13:50-14:05 The evidence-base for large-scale change

This talk will discuss the evidence base for improvement in prediction, prevention and early diagnosis. The problem of improvement waste will be characterised. I will discuss the infrastructure – including clinical pathways, work system design, resourcing, and training – necessary to ensure high quality delivery. I will identify challenges relating to the quality of underpinning scientific evidence for interventions such as clinical prediction tools, along with failures to optimise tools for implementation from the start. The need for co-design of clinical tools that can secure clinician and patient engagement and address diverse needs will be addressed. I will offer examples of how we can do better, drawing on the evidence from improvement research about what works, what doesn’t, and why.

Professor Mary Dixon-Woods

Professor Mary Dixon-Woods

The Healthcare Improvement Studies (THIS) Institute

14:05-14:20 Innovation and engagement – why the workforce matters

Healthcare workforces are in crisis across the world, with a projected shortfall of a 250,000 healthcare workers in the UK’s NHS, and an estimated shortage of 11 million healthcare workers worldwide, by the end of this decade. Innovation transforms how we deliver healthcare and what we are capable of, it creates new expectations of life and survival. But without proper partnership with the professionals closest to the consequences of that innovation, and proper attention to how these technologies might manifest, we run the risk of creating an unsustainable future.

Professor Kevin Fong OBE

Professor Kevin Fong OBE

UCLPartners

14:20-14:35 Prioritising adoption in the NHS and supporting data for research and innovation

The convergence of advances in biology and in data science offers an unprecedented opportunity to improve human health and intervene in human disease. However, despite globally competitive scientific creativity in the UK, innovation adoption and diffusion in the NHS lacks pace and precision. To transform to an innovation led NHS, the system needs to prioritise innovation adoption and functional delivery to bring benefits to the patients that we serve. In addition, to better understand those benefits integrated data and analytic capabilities are required. Improvement in innovation adoption and the supporting data infrastructure will both improve patient care and generate opportunities for life sciences sector growth in the UK.

Professor Ian Abbs

Professor Ian Abbs

SRO NHS Metagenomics Programme

14:35-14:45 Q&A

Chair

Image of Tony Wood

Dr Tony Wood FRS

GSK

15:10-15:15 Introduction to the closing plenary
Dr Tony Wood FRS

Dr Tony Wood FRS

GSK

15:15-15:30 Prizing health: new ideas in the science and support of healthspan

XPRIZE is a global leader in designing large-scale competitions to solve humanity's greatest challenges, having launched $519M in prizes since 1994. XPRIZE Healthspan is a $101 million, 7-year global competition addressing the critical gap between lifespan and healthspan. With over 750 teams from 71 countries, this initiative demonstrates that therapeutic interventions can restore age-related functional decline in muscle, cognition, and immune systems by 10-20 years in adults over 50. The competition includes two interim milestones ($10M each) and grand prizes up to $81M for teams achieving 20-year functional restoration in one-year trials. Beyond therapeutic validation, it establishes standardized methodologies for measuring biological aging, generates consensus on aging biomarkers, and drives regulatory guidance for healthspan‑extending interventions. Supported by NIA Scientific Directors and partnered with Hevolution Foundation and GSK, XPRIZE Healthspan has broad implications for global healthcare systems, scientific discovery, and economic sustainability. Future prize concepts include AI-accelerated data challenges, synthetic biology, and ovarian aging solutions.

Dr Jamie Justice

Dr Jamie Justice

XPRIZE Foundation

15:30-15:45 The transformative potential of online cognitive assessment

Over the past decade, rapid advances in digital technology have enabled fully automated, online assessment of cognition and mental health at scale. In this talk, I will present insights from a series of studies using the Cognitron platform to investigate persistent cognitive and memory deficits across a range of clinical populations, including individuals with long COVID, acquired brain injury, and those at increased risk of developing dementia. I will also discuss how such technologies have the potential to transform overburdened cognitive healthcare services by enabling earlier detection, large-scale monitoring, and more efficient allocation of clinical resources.

Professor Adam Hampshire

Professor Adam Hampshire

King’s College London

15:45-16:00 Will we be using data from smartphones and wearables in healthcare in 2036?

Over 90% of UK adults use a smartphone, and 50% use a smart device like a smartwatch. These collect huge quantities of data with obvious medical utility, including: physical activity, heart rate, sleep, mobility, environment and self-reported health measures (like body weight, blood pressure and quality of life questionnaires). The use of this data in healthcare has been discussed for years, but with little progress. The recent NHS 10-year plan named wearables as one of five "Big Bets" to transform healthcare delivery, even though we have little evidence to show how to do this. In my talk I'll explain why I believe such data could make a major contribution to improving healthcare, why progress has been so slow, and what we might do about this.

Professor Tim Chico

Professor Tim Chico

University of Sheffield

16:00-16:15 Revolutionising health and wellbeing with personalised technologies
Professor Robert Harle

Professor Robert Harle

Google London, and University of Cambridge

16:15-16:30 Q&A
16:30-16:40 Closing remarks
Dr Edward Piper

Dr Edward Piper

AstraZeneca