Common Challenges
Lumnious scans often yield high-dimensional data, making it daunting to extract meaningful insights. Additionally, the sheer volume of data can overwhelm analysis pipelines, leading to inefficiencies and potential inaccuracies.
Innovative Solutions
To address these challenges, innovative approaches such as dimensionality reduction techniques can be employed to reduce data complexity without compromising information. Furthermore, implementing scalable data processing pipelines using parallel computing can significantly improve analysis efficiency.
