In this article, which first appeared online in The Actuary Magazine on 29th October, Vicky Gardner, Head of Data Analytics Solutions considers the impact of Generative AI on life and health underwriting.
The World Health Organization (WHO) estimates that between 2030 and 2050, climate change will contribute to approximately 250,000 additional deaths annually due to under-nutrition, diseases, and heat stress alone. In this article, Kyle Armstrong, Protection R&D lead, takes a closer look at the impact this is having on mortality.
In November 2022, the pharmaceutical company Eisai released the full results from its phase 3 clinical trials of a new Alzheimer’s treatment drug called “lecanemab”. This is the first drug that has acted to successfully slow down the destruction of the brain in Alzheimer's by tackling the condition itself, rather than the symptoms it creates. This is achieved by reducing accumulations of an abnormal protein in the brain called amyloid.
For many people, the first time they would have heard of Messenger Ribonucleic Acid (mRNA) was during the COVID-19 pandemic when it was the topic of many media articles. Famously, it was mRNA technology that delivered the first COVID-19 vaccine to be approved by the medical authorities, and went on to protect millions of lives from the severe effects of COVID-19, across the world.
The insurance industry is constantly evolving, with companies seeking innovative ways to improve customer experience and streamline operations. In recent years, advancements in artificial intelligence (AI) have opened up new possibilities for insurers. One such breakthrough is the integration of ChatGPT (Generative Pre-trained Transformer) technology, a cutting-edge natural language processing model developed by OpenAI.
Working in insurance for over 20 years, in a claim's role, I see the value of Protection Insurance every day. I have assessed countless claims over the years for young people suffering with life- changing illnesses, many of whom were in excellent health before they became ill.
Whilst I used to cockily think of myself as almost invincible, I have learnt the hard way that I was very wrong, and this was a very big error in my judgment.
