After several years of COVID-19-related disruption, the global life sciences market returned to full strength in 2024, with a major rise in pharmaceutical spending, plus ever more exciting technological breakthroughs in the realm of artificial intelligence (AI), medical devices and more. On a personal level, Biopôle celebrated its 20thanniversary – a moment to acknowledge and appreciate how far the life sciences sector has come in the last two decades. Nonetheless, as ever, 2024 brought challenges to overcome alongside opportunities to seize. Here are some of the major trends that marked the life sciences in the past year and that might be worth bearing in mind as we move into 2025.
Extracting value from generative AI and emerging technologies
As outlined in a series of recent reports from Deloitte, generative AI was at the top of the agenda for nearly every organisation working in the life sciences in 2024. What’s more, as projected by Slalom, by the end of 2025, 36% of the world’s data could be generated by life sciences and the healthcare sector. In this context, generative AI is poised to revolutionise the entire life sciences value chain. According to Deloitte, ‘vast [life sciences] datasets combined with the advanced AI capabilities of tech giants offer powerful synergies for drug discovery and healthcare innovation’. Indeed, there is potential for a ‘string-of-pearls’ approach, whereby multiple generative AI use cases can be linked together to transform processes across research, development and patient care.
On this note, we spoke to Biopôle member Adam Hanina, CEO of Dandelion Science, about generative AI’s potential to advance neuroscientific treatment, drawing on early successes in other fields. As Adam pointed out: ‘Technologies pioneered by OpenAI have proven highly effective in tackling complex challenges, with ChatGPT generating realistic text and Sora creating videos from text commands. These groundbreaking tools also hold immense potential in neuroscience […]; generative AI is now being applied to create more sophisticated models of brain function, offering a deeper understanding of disease severity and classification.’
As Adam went on to explain, Dandelion Science harnesses cutting-edge generative AI that is guided by neural objectives, rather than text commands, to create complex sensory stimuli for therapeutic purposes. This approach, which Adam terms ‘Generative Neuromodulation’, enables exploration of the brain’s spatial and temporal dynamics – how neurons synchronise their activity across time and space to carry out tasks. In Adam’s words, ‘we finally have the computational power to systematically search for and deliver high-dimensional stimuli that can control neural dynamics’.
This represents just one of the exciting use cases of generative AI, which is set to add massive value across the whole sector.