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.

Overview

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]

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]

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.

What belongs to precision medicine?

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  • Robots in medicine

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  • PANDEMIC PROTECTOR

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  • CLOUD-BASED HEALTHCARE

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References

[1] https://www.statista.com/statistics/726812/patients-for-which-a-certain-drug-is-ineffective-by-therapy-class/  
[2] https://www.statista.com/statistics/726769/genome-sequencing-technological-advances/
[3] https://www.statista.com/statistics/688473/discovered-genes-with-known-disease-causing-mutations/
[4] https://www.statista.com/statistics/726797/genomic-medicine-technological-advances/
[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
[8] https://www.forbes.com/sites/paullamkin/2018/10/23/smart-wearables-market-to-double-by-2022-27-billion-industry-forecast/#65176b962656