Motivation: Brain aging varies significantly between sexes, yet genetic contributions to these differences remain under - explored. Goal: Identify sex - specific genetic variants linked to accelerated brain aging using structural MRI data. Approach: This study proposes implementing Brain Age Gap Estimates (BrainAGE) with sex - stratified GW AS to uncover genetic associations in T1 - weighted MRI data from the UK Biobank, complemented by Post - GW AS analyses to explore biological pathways and gene expression. Results: Sex - stratified analyses revealed neurotransmitter and mitochondrial response to cellular stress genes linked to brain aging in females and immune - related genes in males. Shared genes suggest common neurostructural roles, advancing understanding of sex - specific genetic determinants in brain aging. Impact: This study highlights the importance of sex - stratified analysis in understanding the genetic associations with brain aging. Findings pave the way for future work on personalized treatments and preventative measures for neurodegeneration based on individual genetic profiles and sex - specific risks.

As the insurance sector competes to win market share, Henry Jinman at EBI.AI discusses three ways companies can benefit from the power of Artificial Intelligence The UK general insurance market continues to be fiercely competitive. While the battle for repeat business keeps downward pressure on pricing, a constantly changing regulatory agenda increases costs. Whatever the industry, successful companies know that building a business based on price alone is not sustainable. Customer service is what matters most. It's a sentiment that is reflected in the latest findings of multinational professional services company Ernst & Young (EY).

Artificial Intelligence (AI) can transform customer service however, many AI projects fail at the first hurdle. Henry Jinman at EBI.AI outlines the 5 most common mistakes and how to fix them. Artificial Intelligence (AI) holds the key to transforming customer service as it allows routine tasks to be delivered faster, at lower cost and on a far larger scale. Chatbots are already commonplace in contact centres while millions of people interact daily with virtual assistants such as Google Home and Alexa. However, for every successful AI project there are many others that fail. For those organisations who haven't yet invested in AI, many are experiencing a fear of missing out (fomo).

Whether it's the negative portrayal by popular culture or simply the fact most of us don't really understand it, artificial intelligence (AI) is usually met with a healthy degree of scepticism. Public endorsements of the technology promising turbo-charged business processes and futuristic chatbots are matched for frequency only by gloomy premonitions of widespread job losses and a dystopian, robot-ruled future. Just recently, for example, customer services expert ContactBabel predicted it will cause the disappearance of 45,700 jobs from the sector – which employs 1.3 million people in the UK – between now and 2021. However, UK-based AI specialist EBI.AI, which claims to be among the most advanced UK labs exploring the potential of AI and chatbots, argues fears over the technology are unfounded. Here its managing director Matthew Doel explains why.

Artificial intelligence (AI) specialist EBI.AI is offering three new 12-month internships at its Warwick-based lab. The move comes amid growing demand for AI talent in the UK, and increasing interest in the technology by broadcasters and tech companies. EBI.AI is a newly launched brand in the AI market. Set up by EBI Solutions, one of the UK's leading Big Data consultancies, it has been operating in'stealth mode' since 2014, designing and building AI solutions for enterprise customers. Its products include AI chatbots. EBI.AI founder Matthew Doel said: "With recent rapid advances in this field, demand has escalated and there is a real shortage of talented AI specialists to fulfil this."