Transformative Life Sciences Trends for 2024

The intersection of tech and healthcare holds immense potential for the life sciences industry.

- Ayesha Siddiqui

From generative artificial intelligence (GenAl), augmented reality (AR), and virtual reality (VR) to decentralised clinical trials and 3D printing, we delve into the latest tech trends such Cellular Multi-Omics, Gene Editing CRISPR Technologies, Decentralised Clinical Trial (DCTs), digital health, digital twins, smart manufacturing, and wearables poised to lead the life sciences landscape in 2024.

As we enter 2024, we predict the technology trends that will influence the life sciences industry in the upcoming year. The evolution of GenAI is poised to revolutionise healthcare, with 49.6 per cent of healthcare providers planning to invest in GenAI use cases, as per a recent IDC report. Augmented Reality (AR) and Virtual Reality (VR) applications are gaining traction for enhancing medical training and surgeries. Trends such as 3D printing, Cellular Multi-Omics, Gene Editing CRISPR Technologies, Decentralised Clinical Trial (DCTs), digital health, digital twins, smart manufacturing, and wearables are expected to redefine the landscape in the new year. Let's delve into these trends in detail.

Gene Editing CRISPR Technologies propel cell and gene therapies

On December 8, 2023, the US FDA (United States Food and Drug Administration) approved the firstever CRISPR-based treatment, CASGEVY, for sickle cell disease by Vertex and CRISPR Therapeutics. This marks a pivotal moment in gene editing, offering hope for genetic disorders and fueling the CRISPR therapeutics sector, one of pharma's buzziest areas.

"In the dynamic realm of gene editing and CRISPR technologies, the pace of advancement is nothing short of remarkable. Developers in the cell and gene therapy arena are fervently working to create improved therapies characterised by greater efficacy, improved safety profiles, and streamlined manufacturing processes. At the heart of this pursuit lie innovations in payload and delivery mechanisms.