Shaping the future of healthcare

Precision medicine is set to fundamentally change the delivery of healthcare. We are moving away from a ‘one size fits all’ approach towards prevention and treatment strategies tailored to individuals.

Did You Know?

  • 75%

    Current untargeted drugs are ineffective in around three-quarters of all cancer patients.[1]

  • $1000

    In 2003, it cost $54 million to sequence one human genome. Twelve years later, it cost around $1,000.[1]

  • 233Mn

    In 2016, 28.3 million wearable devices were on the market but this will rise to 233 million by 2022.[8]


Our current approach to delivering healthcare is not working. Every patient – and their disease – is unique, with many ‘one size fits all’ treatments benefiting only a minority. For example, current untargeted drugs are effective in around one-quarter of all cancer patients; three out of 10 people with Alzheimer’s disease and just over one-half of patients with diabetes[1]. We need to radically change our approach to precision medicine.

When the Human Genome Project completed in 2003, the cost to generate one human genome sequence stood at some 54 million U.S. dollars. Twelve years later, the same procedure cost around one thousand dollars.[2] Due to rapid advances in speed and cost of DNA sequencing and other similar technologies, there has been an explosion of data that is uncovering the exact molecular causes of disease. In 2003 only 1,474 genes were identified that had mutations that cause disease, while in 2015, 2,937 genes had been identified with mutations that cause diseases.[3] In 2003, there were some 46 drugs labeled with biomarker information on the market. Twelve years later, the number of such drugs stood at 132.[4]

The opportunities

But for the most common diseases, our genetic blueprint can only predict what might happen in the future – with the complex interactions between our genes, lifestyle and environmental factors determining our exact trajectories. So scientists are also using advanced imaging and ‘omics[5] technologies, combined with digital biosensors and mobile fitness and wellness devices, to capture physiological and behavioral data at a large-scale. Combining and analyzing these increasingly huge datasets with the help of artificial intelligence (AI) and machine learning technologies will provide incredible power to identify subtle, yet measurable, profiles associated with a disease.

Precision medicine offers unprecedented opportunities to use this ever-increasingly detailed information to prevent, diagnose and treat disease – improving health outcomes for individuals. Its successful delivery relies on several interconnected areas – the development of sophisticated tests that enable much earlier, more precise diagnosis of disease, a range of personalized interventions that can prevent or delay its onset, and a battery of new, molecularly targeted medicines that can treat an individual's condition more precisely with fewer side effects.

Find out how we are helping to shape the future of healthcare in the stories below:

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    Lipid nanoparticles (LNPs) underpin COVID-19 mRNA vaccines and are set to transform the future of medicine by delivering cutting-edge RNA therapeutics into cells.

  • Data and digital health

    By bringing the power of machine learning and artificial intelligence to solve medical problems, new digital health tools promise to revolutionize remote patient care.

  • Bioelectronic therapies

    Tiny electrodes that record and stimulate nerve activity could help to monitor and treat a wide range of diseases.
  • Tomorrow's vaccines

    Through the TRANSVAC collaboration project, we're sharing our expertise to help speed up vaccine development and prepare for future pandemics.

    Infectious diseases are one of the greatest threats to mankind. Our dream product Pandemic Protector could be a game-changer.

  • Antibody-drug conjugates

    These smart drugs are already transforming cancer treatment. Could they be promising for other diseases too?

  • AI: supplying medicines

    The healthcare supply chain ensures the right medicines are available to patients when they need them. Can artificial intelligence revolutionize this complex process?
  • AI against NTDs

    Find out how AI could potentially help improve diagnostics for two neglected tropical diseases, moving one step closer to their elimination.
  • AI helps fight NTDs

    Find out how AI could potentially help improve diagnostics for two neglected tropical diseases, moving one step closer to their elimination.

  • Antibiotics 2.0

    Researchers are developing entirely new strategies based on bioorganic chemistry to fight multi-drug resistant germs - beginning a renaissance in antibiotic development.

  • AI in drug discovery

    From Siri to facial recognition, AI and machine learning are becoming familiar features of everyday life. But what are its advantages for drug discovery?
  • Transforming cancer tests

    Offering less invasive, less painful, and faster testing than standard procedures, liquid biopsy is set to change the way cancer is diagnosed and treated.

    Imagine you are living many kilometers away from your nearest doctor. Access to cloud-based healthcare could help change your life.

  • Robots in medicine

    Are medical robots with human-like characteristics about to change the way we diagnose medical conditions?

  • Improving drug testing?

    Organ-on-a-chip technologies offer a potentially powerful alternative for drug testing – helping to deliver new medicines to patients faster.
  • New generation antibodies

    ZooMAb® antibodies can help researchers to go further than ever before while reducing the use of animals

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Do you believe in a future where medicine will meet everyone’s needs? By joining the team working to develop personalized medicine or coming aboard any of our other numerous research teams, you can be sure of one thing: Your career with us will be anything but standard.

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[5] Genomics examines a person’s DNA blueprint; metabolomics involves looks at small molecules (metabolites); proteomics - explores protein molecules; and transcriptomics examines gene activity.
[6] Biosensors are analytical devices used for detecting a chemical, which combines a biologically derived material with a detector.  
[7] Biointerfaces are where synthetic materials and biological systems interact with each other