Thanks, Bobby. So getting to our ACHIEVE-1 interim results that we wanted to share today and are reflected on Slide 8. As you are aware, this study is for supporting the upcoming launch of Caris Detect, our whole genome sequencing based MCED blood test in Q2 of 2026. ACHIEVE-1 matters not just because it's following our philosophy to always put the patient first, which includes not limiting our development decisions based on cost, but to strive to pursue to the full extent possible the very best performing test. This has been successful for us with our therapy selection assays, which are the most comprehensive on the market, where we run whole exome and whole transcriptome sequencing on every eligible patient sample and we are again pursuing the same path in early detection. The interim readout reflects the benefits of that approach where we are sequencing at incredible depth across the whole genome. Our hypothesis is that cancer is fundamentally driven by molecular abnormalities and these abnormalities show up in multiple waves, driver mutations, epigenomic changes, transcriptomic changes and aneuploidy. Many approaches in blood-based early detection have leaned heavily on epigenomics alone. We took a broader biological view by using ultra deep whole genome sequencing to capture as many genomic alterations as possible. That richer signal set is what we believe is driving our performance and it reinforces our view that relying on a limited slice of biology is not sufficient to reflect the diversity of cancer. What's also different about Caris Detect is the foundation it's built on. The test leverages Caris' molecular profiling data sets, which, as Brian mentioned, has now surpassed 1 million cases and includes more than 50 billion molecular markers. That scale and depth allowed our AI models to identify subtle biological signals associated with early-stage cancers with a very high resolution utilizing the whole genome. As shown on the slide, the interim readout includes 2,122 total samples, 617 cancers, spanning stages 1 through 4 and 1,505 patients with no known cancer at the time of the blood draw. A key point on the normal cohort. These control samples come from individuals who had screening or symptomatic screening, which is a higher likelihood population than the general population. We have at least one year of follow-up data on 22.5% of the normals, of which 35% we identified as our asymptomatic screening population, 121 individuals with no significant risk factors for cancer and at least 1 year of follow-up after the blood draw. Of note, in the total cohort, 7% of patients had a subsequent diagnosis of cancer, reflecting that the control population is truly high risk. Now to the results. From the interim readout, we observed strong sensitivity that increases with stage and high specificity. Sensitivity by stage was 56.8% on Stage I with 266 patients, 70.1% in Stage II with 137 patients, 77% in Stage III with 105 patients and 99.1% in Stage IV with 109 patients. For Stage I and II combined, ACHIEVE-1 reported 63.1% sensitivity. We also evaluated Stage I and II sensitivity by lineage across a number of cancers. Selected examples include -- and are included on Slide 9, with breast cancer being 53% sensitive across 253 patients, valves having 62.2% sensitivity with 45 patients, prostate, 78.9% with 38 patients, uterus, 73.7% with 19 patients, lung 86.7% with 15 patients, pancreas, 71.4% with 7 patients and head and neck cancer at 100% with 7 patients. On specificity in which we followed 22.5% of patients for approximately 3 years following their blood draw, we've demonstrated the following, 99.1% specificity in the screening population with an equal 121, which we have follow-up data on these subjects that had no symptoms of cancer, no history of cancer and no family history of cancer and were not subsequently diagnosed with cancer within 2 years following the blood draw. 95.3% specificity in the higher-risk normal population with 1,505 patients, of which 600 undiagnosed subjects with at least 2 years of follow-up, roughly 7% of patients were subsequently diagnosed with cancer, indicating our enrollment criteria enrich for high-risk subjects. Overall, our model performance measured by AUC was 0.90. These are interim results, which we are extremely excited about. ACHIEVE-1 also includes a blinded holdout validation cohort of approximately 865 samples that were held out for independent testing. That blinded validation is currently in process, and we expect to support these results in Q1. In parallel, we have also begun processing samples from ACHIEVE-2, which is the next step in the program. So to summarize, ACHIEVE-1 interim results show strong performance, including Stage I, II sensitivity of 63.1%, high specificity and an AUC of 0.9 across a large data set spanning 35 cancer types and with no cancer types with help from the results. We view this as a meaningful milestone as we move forward with the blinded holdout readout as the next key catalyst. Moving to Slide 10. This also reflects the status of our robust pipeline, and I'll touch on these before letting Luke wrap things up with the financials. First, Caris MI Cancer Seek is our whole genome plus full transcriptome offering focused on therapy selection in hematological malignancies, particularly AML, MDS and MPN and select cases of suspected myeloid malignancies where cytopenias persist and other causes have been ruled out. Similar to what I've discussed with detection, what matters here is depth and breadth. We're running greater than 200x coverage across the whole genome sequencing and the assay is designed to detect the full range of clinically relevant genomic alterations, mutations, fusions, copy number changes, expression, aneuploidy with roughly 1.6 billion reads per patient. From a status standpoint, we have responded to MoIDX comments on our TA submission and will launch once coverage and pricing is determined. Next is Caris MI Clarity, which is tailored for breast cancer patients who are ER-positive, HER2-negative generally Stage I or II and no negative or in certain cases, 1 to 3 positive nodes, particularly in post-menopausal patients. This solution has 2 alternative offerings, one combining MI Profound Platform with digital AI and the other that is digital AI only. Both are intended to support both early and late recurrence risk score. The goal is straightforward, improve treatment decision-making and reduce unnecessary treatment, while identifying patients who truly need to be receiving therapy. Operationally, we are in launch planning and pursuing reimbursement through the 2 paths. The NGS plus digital AI and digital only. We expect that the digital AI only path will be faster, and it is likely that we launch that version of the products first. Importantly, both versions of MI Clarity offer superior performance to currently available offerings. Third is Caris MRD Tumor-Naive where the intended initial use case is colorectal cancer. The clinical intent here is minimal residual disease assessment in patients with Stage II and III solid tumors post-curative intent treatment, helping to inform adjuvant therapy decision window. Importantly, this is designed to work from the whole blood sample without requiring an individualized tumor-informed assay build. As previously discussed, MolDX requested additional data, and we are working on creating and compiling that data, and we'll provide updates as we progress on that front. And then Caris MRD Tumor-Informed, which is our whole genome approach intended for pan tumor applications in Stage I, II and III disease. This is based on tumor-normal whole genome sequencing to identify patient-specific trackers with a proprietary approach designed to minimize false negatives. The strategy is to maximize tracker counts and to reach ultra-low PPM detection capability because in MRD, sensitivity at very low levels is required. We've initiated development and launch planning, and we will continue to provide updates as we progress throughout the year. We have also launched 5 new AI signatures on our molecular tumor board reports that is available to physicians as part of our MI Cancer Seek in breast, pancreatic, brain, lung and ovarian cancer. These signatures offer insights into which patients will benefit from available, approved therapies and show how our whole exome, whole transcriptome strategy provides the best therapeutic guidance and demonstrates how profiling is becoming more proprietary and not commoditized. Small panels of hundreds of genes are not sufficient to offer these types of insights. As Brian referenced in the investment strategy, our goal this year will be to continue to push on all pipeline activities as quickly as possible in order to make these comprehensive solutions available to improve the lives of patients. I will stop here, and I'll pass it over to Luke for the financial updates. Luke?