Omics data covers large‑scale measurements like genomics, transcriptomics, and proteomics that describe many biological variables at once. These datasets are central to modern drug discovery but can be unfamiliar to clinicians outside research, and they come with specific challenges around noise, batch effects, storage, and the risk of overfitting AI models that rely heavily on such high‑dimensional inputs.