{"id":8873,"date":"2023-09-29T09:57:34","date_gmt":"2023-09-29T08:57:34","guid":{"rendered":"https:\/\/sarasinandpartners.com\/za\/think\/ai-could-be-good-for-your-health\/"},"modified":"2023-10-16T14:32:30","modified_gmt":"2023-10-16T13:32:30","slug":"ai-could-be-good-for-your-health","status":"publish","type":"post","link":"https:\/\/sarasinandpartners.com\/za\/think\/ai-could-be-good-for-your-health\/","title":{"rendered":"AI could be good for your health"},"content":{"rendered":"

Healthcare companies are surprisingly advanced in using AI to diagnose more accurately and speed up drug discovery. This could be the start of something much bigger and more beneficial.<\/strong><\/p>\n

Artificial intelligence (AI) has already proved its worth in some areas of healthcare, such as radiology, where it is used to carry out initial scan assessments and prioritise them for further analysis. This is an area where AI can excel \u2013 high-speed pattern recognition and an unflagging focus on detail \u2013 but there is much more that it could do.<\/p>\n

Since 1970, healthcare stocks have outperformed the S&P Index and provided a mix of solid defensiveness and periodic bursts of innovation-fuelled growth. The 1950s and 1960s saw huge strides being made with small molecules, followed by the arrival of monoclonal antibodies in the 1980s and genomics from the 2000s onwards.<\/p>\n

Like most advances, the genomics revolution (which is one of our investment themes) is taking longer to deliver its benefits than people expected after the initial sequencing of the first full human genome in 2003. At the same time, discovery of new drugs has become ever more expensive. Now, however, AI offers the tantalising prospect of a new phase of innovation in healthcare and pharmaceuticals.<\/p>\n

Big pharma\u2019s drug problem<\/strong><\/h3>\n

In the world of computing, Moore\u2019s Law notes that the number of transistors in circuits has doubled every two years as chip design and production improves [1]<\/a>. This has enabled huge leaps in technological progress and vastly reduced costs for end users of digital wizardry.<\/p>\n

Unfortunately, it appears the pharmaceutical industry labours under the reverse of Moore\u2019s Law \u2013 Eroom\u2019s Law. In recent decades the cost of developing new drugs has doubled every nine years.<\/p>\n

A study from 2020[2]<\/a> found that between 2009 and 2018 the median research and development (R&D) investment required to bring a new drug to market was almost $1 billion, with an average lead time of 10-15 years.<\/p>\n

<\/a><\/p>\n

Pharma\u2019s increasing R&D bill coincides with mounting demand for treatments for ageing populations and conditions caused by sedentary lifestyles and ultra-processed diets. Many countries are having to pay more to provide healthcare and many individuals are having to pay more to access it.<\/p>\n

<\/a><\/p>\n

\"\"<\/h1>\n

Like finding a needle \u2013 in a stack of needles<\/strong><\/h3>\n

Things could now be looking up for big pharma\u2019s drug researchers. Earlier this year, researchers at McMaster University and Massachusetts Institute of Technology (MIT) used an AI approach to identify an antibiotic specifically for Acinetobacter baumannii, one of the World Health Organization\u2019s most-unwanted dangerous antibiotic-resistant bacteria.<\/p>\n

A. baumannii is a superbug usually found in hospitals. It can cause pneumonia and meningitis, can survive on surfaces for long periods and is also able to collect antibiotic-resistant genes from other bacteria.<\/p>\n

Using AI, the McMasters\/MIT team [3]<\/a> sorted through thousands of potential antibiotic candidates in record time and at a fraction of the cost of traditional research methods. Testing and approval will be slower, but the team\u2019s success highlights the possibility of speeding up drug discovery and assessing the medicinal properties of, potentially, billions of molecules.<\/p>\n

\"\"<\/h3>\n

That was the easy stuff<\/strong><\/h3>\n

As with pattern recognition in radiology, identifying antibiotics is a well-suited task for initial uses of AI in healthcare because it is well-defined, involving matching a specific enemy to its nemesis. By contrast, tackling cancer and dementia \u2013 two of the biggest areas of unmet medical need \u2013 is much more complicated. Humans are incredibly intricate biological machines: science is not even remotely close to understanding all the interactions involved in how our bodies function.<\/p>\n

If AI can be brought to bear on complex areas such as cancer and dementia, the social and financial benefits would be enormous. Dementia alone imposes a brutal burden. Worldwide, it is estimated that around 55 million people live with dementia, implying annual care costs of $1.3 trillion.[4]<\/a><\/p>\n

As populations in the US, Europe, Japan and China continue to age, these figures will rise dramatically. In the UK alone, the annual care costs of dementia are expected to rise from \u00a334.7 billion to \u00a394.1 billion by 2040 as the number of UK cases rises by 80% [5]<\/a>.<\/p>\n

Entering a rough patch, with optimism<\/strong><\/h3>\n

The 2024 US presidential election could be a difficult time for the pharmaceuticals industry as Republicans and Democrats vie to get tough on drug prices in what is, by far, pharma\u2019s biggest market. Looking further ahead though, the sector\u2019s prospects could be much brighter.<\/p>\n

Following the Covid pandemic, some pharma companies have a high level of cash to deploy. The first six months of 2023 have seen a significant increase in acquisitions of bioscience companies by big pharma, including Pfizer\u2019s $43 billion proposed takeover of Seagen, which focuses on what is known as smart chemotherapy.[6]<\/a><\/p>\n

A shot in the arm for healthcare<\/strong><\/h3>\n

We believe that AI could be highly advantageous for a number of companies that we invest in under our Ageing theme. These include Amgen, which has a strong data advantage over competitors thanks to its vast database of genetic samples. Using AI to analyse these could speed up the development of promising drugs while excluding less promising drugs at an earlier stage. Another example is Sonic Healthcare, which is likely to benefit from applying AI techniques to its diagnostic testing. This has potential to give Sonic Healthcare a competitive advantage over its many smaller competitors in terms of speed of diagnosis and cost.<\/p>\n

Applying AI to healthcare and pharmaceuticals offers the prospect of not only longer lifespans but also longer healthspans (healthy life). In the process, it is likely to free up resources for more innovative therapies, creating a virtuous circle that could bring a step change in tackling the enormous challenges posed by ageing demographics.<\/p>\n

[1]<\/a> https:\/\/www.britannica.com\/technology\/Moores-law, 28 September 2023<\/span><\/p>\n

[2]<\/a> Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018Olivier J. Wouters, PhD, Martin McKee, MD DSc and Jeroen Luyten, PhD; March 2020<\/span><\/p>\n

[3]<\/a> MIT News, Using AI, scientists find a drug that could combat drug-resistant infections, 25 May 2023<\/span><\/p>\n

[4]<\/a> The worldwide costs of dementia in 2019. From Alzheimer's & Dementia, published by Wiley Periodicals LLC on behalf of Alzheimer's Association, 2023.<\/span><\/p>\n

[5]<\/a> Projections of older people with dementia and costs of dementia care in the United Kingdom, 2019\u20132040 Care Policy and Evaluation Centre, London School of Economics and Political Science. <\/span><\/p>\n

[6]<\/a> Pharmaceutical Technology, M&A in pharmaceutical increased in Q2 2023, 16 August 2023<\/span><\/p>\n

\n

Important information<\/strong><\/p>\n

This document is for investment professionals in South Africa only and should not be relied upon by private investors.<\/strong><\/p>\n

This promotion has been approved by Sarasin & Partners LLP of Juxon House, 100 St Paul\u2019s Churchyard, London, EC4M 8BU, a limited liability partnership registered in England & Wales with registered number OC329859 which is authorised and regulated by the Financial Conduct Authority with firm reference number 47511.<\/p>\n

Please note that the prices of shares and the income from them can fall as well as rise and you may not get back the amount originally invested.<\/strong>\u00a0This can be as a result of market movements and also of variations in the exchange rates between currencies.\u00a0Past performance is not a guide to future returns and may not be repeated.<\/strong><\/p>\n

All details in this document are provided for marketing and information purposes only and should not be misinterpreted as investment advice or taxation advice. This document is not an offer or recommendation to buy or sell shares in the fund. You should not act or rely on this document but should seek independent advice and verification in relation to its contents. Neither Sarasin & Partners LLP nor any other member of the J. Safra Sarasin Holding Ltd group accepts any liability or responsibility whatsoever for any consequential loss of any kind arising out of the use of this document or any part of its contents. The views expressed in this document are those of Sarasin & Partners LLP and these are subject to change without notice.<\/p>\n

This document does not explain all the risks involved in investing in the funds and therefore you should ensure that you read the prospectus and the Key Investor Information document which contain further information including the applicable risk warnings. The prospectus, the Key Investor Information document as well as the annual and semiannual reports are available free of charge from www. sarasinandpartners.com or from Sarasin & Partners LLP, Juxon House, 100 St Paul\u2019s Churchyard, London, EC4M 8BU, Telephone +44 (0)20 7038 7000, Telefax +44 (0)20 7038 6850. Telephone calls may be recorded.<\/p>\n

Where the data in this document comes partially from third party sources the accuracy, completeness or correctness of the information contained in this publication is not guaranteed, and third party data is provided without any warranties of any kind. Sarasin & Partners LLP shall have no liability in connection with third party data.<\/p>\n

\u00a9 2023 Sarasin & Partners LLP \u2013 all rights reserved. This document can only be distributed or reproduced with permission from Sarasin & Partners LLP. Please contact marketing@sarasin.co.uk.<\/p>\n","protected":false},"excerpt":{"rendered":"

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