Trendspotting: What’s Coming for Diagnostics in 2024

‍

To kick off the New Year, we spoke with leaders and experts in the Diagnostic World community about their insights and predictions for 2024. The community expects transformations and innovation in the coming year, especially that AI will support diagnostic development. “In 2024, we are poised to reach the slope of enlightenment on the hype cycle curve for AI-based diagnostics development,” predicts Niven R. Narain of BPGBio.

Machine learning is also expected to provide better aid and efficiency in diagnostic processes. “In the coming year, I anticipate we’ll see more advancements in [ML algorithms’] use for early-stage detection of cancer. Moreover, with the growing efficacy of machine learning algorithms, I foresee the identification of relationships among liquid biopsy markers, enhancing the sensitivity of these innovative assays,” said Courtney Noah of BioIVT.

These technological advancements also extend to genome sequencing. Through improved sequencing development, researchers and physicians will be able to diagnose diseases before they are even confirmed, thanks to new tools and technologies. “I foresee newborn screening (NBS) will be a game changer in 2024. Expanded NBS systems will usher in a new era of large-scale correlations between screened healthy and unhealthy individuals. It will produce even more genome sequencing data from which we can draw meaningful and potentially surprising correlations to diagnose patients earlier and match them to the most appropriate treatments,” said Mark Kiel of Genomenon.

‍