What changed: r1 to r2
No authored reason recorded.
Retrieval clocks and internal hashes are excluded. Changed source or accounting definitions are not automatically an economic restatement. The authored reason describes the destination revision.
| Field | Before | After |
|---|---|---|
| /business/description | Not yet authored. | We endeavor to unlock the true power of precision medicine by creating Intelligent Diagnostics through the practical application of artificial intelligence, or AI, in healthcare. Intelligent Diagnostics use AI, including generative and agentic AI, to make laboratory tests more accurate, tailored, and personal. We make tests intelligent by connecting laboratory results to a patient’s own clinical data, thereby personalizing the results. Our novel insight was realizing that all laboratory test results, genomic or otherwise, could be contextualized for a specific patient based upon that patient’s unique characteristics, and technology could therefore guide therapy selection and treatment decisions to allow each patient to progress on their own unique path. The drugs recommended, the clinical trials explored, the care pathways evaluated, and the adverse events considered—all have the potential to be refined and enhanced when test results are connected to a patient’s personal profile, enabling the right patient to be routed to. |
| /business/drivers/0 | Not yet authored. | Our Platform includes proprietary software and dedicated data pipelines that create a network of healthcare institutions through more than 700 unique data. |
| /business/drivers/1 | Not yet authored. | We then integrate this data into a unified multimodal database through which we offer numerous analytical and decision support capabilities to our customers. |
| /business/drivers/2 | Not yet authored. | We establish dedicated and integrated data connections with healthcare institutions to enhance the information we provide in our clinical reports, to increase. |
| /memory/bands/10d/p10 | -13.439 | -16.026 |
| /memory/bands/10d/p50 | -0.242 | 1.305 |
| /memory/bands/10d/p90 | 21.196 | 22.282 |
| /memory/bands/10d/p_up | 0.49 | 0.557 |
| /memory/bands/1d/p10 | -7.641 | -7.717 |
| /memory/bands/1d/p50 | -0.616 | -0.324 |
| /memory/bands/1d/p90 | 6.325 | 7.451 |
| /memory/bands/1d/p_up | 0.443 | 0.46 |
| /memory/bands/5d/p10 | -12.711 | -13.646 |
| /memory/bands/5d/p50 | -0.767 | 0.801 |
| /memory/bands/5d/p90 | 11.36 | 13.19 |
| /memory/bands/5d/p_up | 0.433 | 0.533 |
| /meta/as_of | 2026-09-17 | 2026-09-18 |
| /meta/business_authored | None | False |
| /meta/extract_accession | None | 0001193125-26-066961 |
| /meta/extract_filed | None | 2026-02-24 |
| /meta/extract_form | None | 10-K |
| /meta/extract_source | None | filing |
| /meta/extract_url | None | https://www.sec.gov/Archives/edgar/data/1717115/000119312526066961/tem-20251231.htm |
| /meta/revision | 1 | 2 |
| /thesis/view | Not yet authored. | |
| /thesis/what_changes_it | Not yet authored. |