| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
| Web: | mayocliniclabs.com |
|---|---|
| Email: | mcl@mayo.edu |
| Telephone: | 800-533-1710 |
| International: | +1 855-379-3115 |
| Values are valid only on day of printing | |
Maria Alice Willrich, Ph.D., explains how Mayo Clinic Laboratories' new assay provides therapeutic drug monitoring of risankizumab, or RISA. Test results help guide care for patients with plaque psoriasis, psoriatic arthritis, and Crohn's disease.
Mayo Clinic Laboratories introduces an advancement in the management of Crohn's disease with the release of a new laboratory test that measures Risankizumab levels in patients. This test will advance the therapeutic monitoring of Crohn's disease, enabling personalized treatment approaches.
Ann Moyer, M.D., Ph.D., explains how Mayo Clinic Laboratories' test panel provides comprehensive evaluation of patients with suspected monogenic early onset inflammatory bowel disease, or IBD. Accurate diagnosis is key to guiding therapy for patients, who might be as young as 2 years of age.
The MayoComplete Gastrointestinal Stromal Tumor (GIST) Panel, Next-Generation Sequencing, Tumor evaluates for somatic mutations in solid tumor samples and determines microsatellite instability to confirm a diagnosis of GIST.
Mayo Clinic researchers and collaborators have discovered a critical role that inflammation plays in liver regeneration after liver resection. While effective regeneration requires some inflammation, too much of it causes regeneration failure. They also discovered that patients experiencing dysfunctional liver regeneration had a significantly dysregulated gene known as DUSP4 – a finding that could help support targeted therapeutic strategies administered before or after surgical resection to prevent liver failure.
Mayo Clinic researchers are now using artificial intelligence (AI) systems to help increase polyp detection during colonoscopies and identify colorectal cancer at an early stage. Like facial recognition software that recognizes faces, this AI tool is being trained to recognize polyps. It works alongside the physician during a colonoscopy, scanning the video feed and drawing boxes around polyps that may otherwise have been overlooked due to their subtleness.