Cancer claims 10 million lives each year, the global shortage of health workers runs into the millions, and in some parts of the world, a single mosquito bite can be fatal.

These challenges may seem very different. Yet they share a common element in how many health systems operate: risk is often recognised only after it has become illness, outbreak or crisis. By then, a disease may have advanced, transmission of disease may be under way, or an already stretched workforce may be managing consequences that earlier action could have reduced.

The opportunity is to move that point of intervention earlier. This is what anticipatory health means in practice: using signals that already exist, at the bedside, in communities, and in routine health data, to help people and health systems act sooner. It is not prediction for its own sake. The value lies in connecting early and everyday signals to a timely, practical response.

Finding practical routes to earlier action

That principle sits at the heart of the Future Health Impact Challenge: Building Anticipatory Health Systems through Population Sensing, launched by Future Health – A Global Initiative by Abu Dhabi in collaboration with MIT Solve. The Challenge received 393 submissions from 68 countries. ThinkMD, VectorCam and Huna emerged as its three award-winning solutions: ThinkMD received the grand prize, with VectorCam and Huna recognised as distinguished finalists.

The Challenge was designed to identify practical solutions with evidence of impact and potential to scale. Each of the three selected teams demonstrated their approach to using technology to turn an early signal into decisions that support anticipatory actions a health system can take.

Frontline care as a population signal

ThinkMD starts with the interaction between a frontline health worker and a patient. Its offline mobile platform guides structured assessments aligned with clinical protocols, supporting providers where doctors, connectivity, and diagnostic tools may be scarce. Almost 10,000 frontline health workers across 885 facilities are now using it.

Each consultation also creates structured data. Across facilities, that information can reveal changes in symptoms and service demand. In Zambia, analysis of around one million encounters identified symptom patterns several months before a confirmed cholera outbreak. In Kenya, deployment data showed improvements in identifying danger signs in infants and prescribing antibiotics correctly for childhood pneumonia.

It is not prediction for its own sake.

“The utilisation of AI in healthcare is an absolute game changer. Not only can we increase access for patients, but we can also increase access to information to make correct and appropriate diagnoses and give the right treatment to the right patient at the right time. Future Health has been a really critical platform to be able to accelerate our mission of moving from reactionary to anticipatory care,” said Dr Jackie Rabec of ThinkMD.

The award has given ThinkMD support and visibility as it works to expand into new health systems and strengthen how frontline data becomes timely intelligence for decision-makers. That is one measure of the Challenge’s impact: helping proven solutions move towards sustained, wider adoption.

Earlier signals from the environment and routine data

VectorCam begins with the environment around a community. Using a low-cost smartphone imaging device and offline AI, community health workers can photograph and identify mosquitoes in the field. Each observation generates time- and location-based data that can help authorities see changing vector risk as the first signal of disease patterns, before a spread in local communities and populations.

The value lies in connecting early and everyday signals to a timely, practical response.

Field evaluations show data completeness rising from approximately 60% to more than 90%. With support from the Future Health Impact Challenge, VectorCam aims to strengthen its early-warning capability, integrate additional data sources and expand into national surveillance programmes.

Huna looks for earlier cancer-risk signals in information that health systems already generate. Its platform analyses routine complete blood count data to identify people with an elevated risk and prioritises them for screening. It does not diagnose cancer from a blood test; it helps direct limited screening capacity, and supports patients and healthcare professionals through the next steps.

In Brazil, Huna’s deployments have screened more than 500,000 people and detected hundreds of cancer cases. Its experience also highlights a critical ‘last mile’: identifying risk is not enough if a person does not complete the diagnostic pathway. Recognition and funding from the Challenge could help support further validation across new populations and facilitate new international partnerships.

Innovation is only the starting point

Together, these solutions show that useful signals can come from a variety of sources – including clinical encounters, environmental surveillance, and routine diagnostics. They also show that anticipatory approaches can be built where connectivity, specialist capacity, or access to screening is limited, and that innovation developed in those settings can share insights that can be localised and adopted globally.

But a successful technology or pilot is not the same as system-wide impact. Scaling requires local validation, integrated into existing workflows, responsible data governance, sustainable financing, workforce training, and evidence that earlier insight changes decisions and outcomes.

A successful technology or pilot is not the same as system-wide impact.

“The solutions emerging from this Challenge reflect both the urgency and the opportunity facing health systems globally. By bringing innovators together with policymakers, funders and implementers through platforms such as Future Health, we can help accelerate solutions that are locally grounded and capable of delivering impact at scale,” said Hala Hanna, Executive Director of MIT Solve.

From recognition to system-level impact

The Future Health Impact Challenge is part of Future Health’s wider role as a year-round platform for action. Together with our partners and colleagues across diverse sectors and geographies, Future Health identifies promising solutions, supports their development, builds international connections and brings together the policy, clinical, research and investment expertise needed to move from proof to concept to measurable impact.

The Future Health impact documentary film is now available to watch, and shares personal commentary from the founders of the three companies, local stories of the solutions in action, and commentary from the Challenge owners and collaborator.

Watch the full Future Health Impact Challenge Film here.

Ask a 22-year-old and a 70-year-old in the UK today whether they use digital tools to manage their money, and the answer is increasingly the same: yes. Ask them whether they feel confident doing so, and you get two very different answers.

Financial empowerment is the term we use to refer to the knowledge, skills, tools and opportunities that allow an individual to take control of their financial life and improve their financial wellbeing over time.

Britain increasingly banks, budgets and borrows online — a shift made possible at scale by advances in digital technology and the data and analytics behind it. But how confident people feel doing it is the real story of financial empowerment in Britain right now, and it offers valuable insight for policymakers and industry alike.

Different lives, shared financial ambitions

For a decade, Lloyds Banking Group’s Consumer Digital Index has tracked how people across the UK engage with digital technology and the confidence they have in doing so. Its analysis shows that more than 75 percent of 18- to 24-year-olds have used artificial intelligence (AI) for personal finance in the past year — the highest adoption of any generation. Yet they’re also the least confident using the tools they’ve adopted: just 64 percent of 18- to 24-year-old digital tool users feel confident using them, rising steadily to 85 percent among 65- to 74-year-olds.

Britain increasingly banks, budgets and borrows online — a shift made possible at scale by advances in digital technology and the data and analytics behind it.

Look across the UK and the picture shifts again. According to the index, London is the UK’s AI finance capital — 49 percent of digitally engaged respondents use it weekly, reporting the nation’s highest average savings of £562 after following AI-powered recommendations.^* Yet Londoners who use digital tools feel less confident doing so than anyone else in the country. Wales leads the UK on financial engagement and knowledge — how actively people manage their finances and how well they understand them — with the highest proportion nationally of those surveyed saying digital tools have helped them grow their pensions and investments. Yorkshire and the Humber leads on digital budgeting, and Northern Ireland shows some of the lowest adoption alongside some of the strongest outcomes among those who do engage.^** How people use digital tools to manage their money across the UK is as varied as the lives, places and ambitions behind it.

These insights insist that financial empowerment should be a national priority. While people across different generations and in different places are engaging with digital money tools differently, the ambition is the same — to have confidence, capability and control over their financial future.

It can’t be enabled in the same ways to everyone. A 20-year-old in Croydon, a 45-year-old in Leeds juggling debt and family costs, and a 70-year-old in Cardiff drawing down a pension will need different things to feel confident in managing their money online.

While people across different generations and in different places are engaging with digital money tools differently, the ambition is the same — to have confidence, capability and control over their financial future.

But strip away the age and the postcode, and what people want is remarkably consistent: the confidence to decide, the capability to act, and the control to plan ahead without being derailed by the next bill.

That’s the common connection between a Gen Z Londoner testing an AI budgeting tool and a Boomer in Edinburgh checking her pension pot on an app before bed.

Financial access is only the starting point

The UK has made big steps toward building digital access — nearly nine in ten digital tool users across the UK (88 percent) now manage their money online weekly. That’s a real achievement, but access was never the finish line and cannot be taken for granted.

A second goal is to turn that access into outcomes, in ways that reflect how differently people actually experience money. That means building financial education into schools and workplaces earlier and closing the trust gap around AI-generated advice for the younger users adopting it fastest. Places with the least developed financial habits should be given support designed for their circumstances, not advice scaled down from somewhere else.

As the UK’s largest digital bank, with around 22 million customers now managing their money through our apps, we have as much reason as anyone to get this right — and a role to play in doing it. Our ambition is to make finance simpler, smarter and more connected for every moment that matters, which is why we’re using AI, data and digital tools in practical, purposeful ways to help customers make better financial decisions and protect themselves from harm. By using our reach, technology and connectivity, we can help more people and businesses build stronger financial futures and realise their ambitions.

Financial empowerment is a national economic opportunity

The size of the prize is substantial. Independent research commissioned by Lloyds Banking Group and led by the University of Nottingham puts the value of turning digital access into financial confidence at up to £100 billion for the UK economy over the next decade — roughly £3,500 per household.

Our ambition is to make finance simpler, smarter and more connected for every moment that matters, which is why we’re using AI, data and digital tools in practical, purposeful ways.

Confidence changes what people do with their money. Instead of just getting through the week, they start to plan, adapt and invest in what comes next. Multiply that across millions of households, and the effect stops being personal and starts being national.

Digital access got the UK this far. Confidence, capability and control are what will get it the rest of the way — and building them should be a national priority.

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Notes:

^*Savings figures are self-reported estimates and are not verified against transactional data. They should be interpreted as perceived impacts rather than guaranteed outcomes.

^**The Northern Ireland outcome findings are based on a small sample, n<100, and should be interpreted as indicative rather than statistically representative of the wider population.