Retrospective clinical samples were used to evaluate the clinical sensitivity and specificity of the ANA Screen ELISA (IgG) by comparing test results against established clinical diagnoses.
Patients with mixed connective tissue diseases, systemic lupus erythematosus, poly-/dermatomyositis, systemic sclerosis, Sjögren's syndrome, and various control groups (celiac disease, Wegener's granulomatosis, rheumatoid arthritis, other autoimmune diseases, and infectious diseases).; Sample Size: 738; Number of Sites: Multiple (cooperation with different sites)
Not applicable for this study
Clinical sensitivity and clinical specificity
Indications for Use
The EUROIMMUN ANA Screen ELISA (IgG) is intended for the qualitative determination of IgG class antibodies against nuclear antigens (mixture of dsDNA, histones, ribosomal P-proteins, rRNP/Sm, Sm, SS-A, SS-B, Scl-70, Jo-1 and centromeres) in human serum and plasma (EDTA, Liheparin, Citrate). It is used as an aid in the diagnosis of mixed connective tissue diseases (MCTD), systemic lupus erythematosus, Sjögren's syndrome, progressive systemic sclerosis and polymyositis and dermatomyositis, in conjunction with other laboratory and clinical findings.
Device Story
The EUROIMMUN ANA Screen ELISA (IgG) is an in vitro diagnostic test for human serum or plasma samples. It utilizes a microwell plate coated with a mixture of nuclear antigens to capture specific IgG antibodies. The assay follows a two-step ELISA procedure: sample incubation, washing, incubation with peroxidase-labeled anti-human IgG conjugate, further washing, and TMB substrate addition. A stop solution is added, and optical density (OD) is measured at 450nm (with reference at 620-650nm) using a plate reader. The device provides a qualitative result based on an OD ratio (cut-off 1.0). It is intended for use by laboratory professionals to aid in the diagnosis of systemic autoimmune rheumatic diseases. Results are interpreted by clinicians alongside other laboratory and clinical findings to support patient management.
Clinical Evidence
Clinical study evaluated 738 characterized samples. Overall sensitivity 72.5% (95% CI: 68.0–76.7%) and specificity 95.8% (95% CI: 92.9–97.7%). Method comparison with predicate (n=290) showed 97.2% overall agreement. CDC reference panel testing confirmed reactivity against expected antigens.
Technological Characteristics
ELISA-based immunoassay; 96-well microtiter plate coated with antigen mixture (dsDNA, histones, ribosomal P-proteins, nRNP/Sm, Sm, SS-A, SS-B, Scl-70, Jo-1, centromeres). Energy source: external microwell plate reader (450 nm/620 nm). Manual/automated processing; qualitative output via OD ratio. Reagents include peroxidase-labeled anti-human IgG conjugate and TMB substrate.
Indications for Use
Indicated for qualitative detection of IgG antibodies against nuclear antigens in human serum and plasma to aid in diagnosis of MCTD, systemic lupus erythematosus, Sjögren’s syndrome, progressive systemic sclerosis, polymyositis, and dermatomyositis. For prescription use only.
Regulatory Classification
Identification
An antinuclear antibody immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the autoimmune antibodies in serum, other body fluids, and tissues that react with cellular nuclear constituents (molecules present in the nucleus of a cell, such as ribonucleic acid, deoxyribonucleic acid, or nuclear proteins). The measurements aid in the diagnosis of systemic lupus erythematosus (a multisystem autoimmune disease in which antibodies attack the victim's own tissues), hepatitis (a liver disease), rheumatoid arthritis, Sjögren's syndrome (arthritis with inflammation of the eye, eyelid, and salivary glands), and systemic sclerosis (chronic hardening and shrinking of many body tissues).
Predicate Devices
Aesku Aeskulisa ANA Hep-2 (k081104)
Submission Summary (Full Text)
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Page 1 of 10
510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY ONLY TEMPLATE
A. 510(k) Number:
k131185
B. Purpose for Submission:
New device
C. Measurand:
Anti-Nuclear Antibodies
D. Type of Test:
Qualitative enzyme immunoassay
E. Applicant:
EUROIMMUN US INC.
F. Proprietary and Established Names:
EUROIMMUN ANA Screen ELISA (IgG)
G. Regulatory Information:
1. Regulation section:
21 CFR 866.5100 – Anti-Nuclear Antibody immunological test system
2. Classification:
Class II
3. Product code:
LJM, Antinuclear antibody (enzyme-labeled), antigen, controls
4. Panel:
Immunology (82)
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Page 2 of 10
H. Intended Use:
1. Intended use(s):
The EUROIMMUN ANA Screen ELISA (IgG) is intended for the qualitative determination of IgG class antibodies against nuclear antigens (mixture of dsDNA, histones, ribosomal P-proteins, nRNP/Sm, Sm, SS-A, SS-B, Scl-70, Jo-1 and centromeres) in human serum and plasma (EDTA, Li-heparin, Citrate). It is used as an aid in the diagnosis of mixed connective tissue diseases (MCTD), systemic lupus erythematosus, Sjögren’s syndrome, progressive systemic sclerosis and polymyositis, and dermatomyositis, in conjunction with other laboratory and clinical findings.
2. Indication(s) for use:
Same as intended use.
3. Special conditions for use statement(s):
For prescription use only.
4. Special instrument requirements:
Microwell plate reader capable of measuring OD at 450 nm and at 620 nm for dual wavelength readings.
I. Device Description:
The EUROIMMUN ANA Screen ELISA (IgG) consists of a microwell ELISA plate coated with a mixture of dsDNA, histones, ribosomal P proteins, nRNP/Sm, Sm, SS-A, SS-B, Scl-70, Jo-1 and centromeres antigens. Also included are Calibrator, positive and negative controls, Peroxidase-labeled anti-human IgG conjugate, sample buffer, wash buffer concentrate, TMB chromogen/substrate solution, and stop solution.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Aesku Aeskulisa ANA Hep-2
2. Predicate 510(k) number(s):
k081104
3. Comparison with predicate:
{2}
| Similarities | | |
| --- | --- | --- |
| Item | Device EUROIMMUN ANA Screen ELISA (IgG) | Predicate Aeskulisa ANA Hep-2 |
| Intended Use | Detection of IgG antibodies to nuclear antigens | Same |
| Assay Format | Qualitative | Same |
| Technology | ELISA | Same |
| Assay Platform | 96-well microtiter plates | Same |
| Calibration | Relative evaluation | Same |
| Conjugate | Anti-human IgG labeled with horseradish peroxidase | Same |
| Substrate | TMB | Same |
| Reported Results | OD Ratio | Same |
| Cut-Off Level | Ratio 1.0 | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device EUROIMMUN ANA Screen ELISA (IgG) | Predicate Aeskulisa ANA Hep-2 |
| Antigen Mixture | dsDNA, histones, ribosomal P proteins, nRNP/Sm, Sm, SS-A, SS-B, Scl-70, Jo-1, centromeres | dsDNA, histones, SS-A (Ro), SS-B (La), Sm, snRNP/Sm, Scl-70, Jo-1 and centromeric antigens and lysed HEP-2 cells |
| Calibrators & Controls | 1 calibrator2 controls: 1 positive, 1 negative | 3 controls: 1 positive, 1 cut-off (used for calculation of results), 1 negative |
| Sample Buffer | Ready for use | 5x concentrate |
| Wash Buffer | 10x concentrate | 50x concentrate |
| Stop Solution | 0.5 M sulphuric acid | 1 M hydrochloric acid |
| Sample Types | Serum or plasma (EDTA, Li-heparin, Citrate) | Serum |
| Sample Dilution | 1:201 | 1:101 |
# K. Standard/Guidance Document Referenced (if applicable):
Guidance for Industry and FDA Staff: Recommendations for Anti-Nuclear Antibody (ANA) Test System Premarket $(510(\mathrm{k}))$ Submissions (January 22, 2009)
# L. Test Principle:
Patient samples are diluted 1:20 in sample buffer, $100~\mu \mathrm{L}$ of each diluted patient sample and pre-diluted controls and calibrator are added to the antigen mixture coated microtiter wells and incubated for 30 minutes at room temperature. After incubation the microtiter well strips
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are washed with wash buffer to remove unbound antibodies and 100 μL of the anti-human IgG enzyme conjugate reagent is added to each microtiter well. After an additional 30-minutes incubation at room temperature, the microtiter wells are again washed 3 times with 300 μl of wash buffer to remove any unbound enzyme conjugate and 100 μL of the chromogen substrate is added. The strips are incubated for 15 minutes at room temperature and 100 μL stop solution is added. The microtiter plates are placed in an ELISA reader and read at a wavelength of 450 nm and a reference wavelength of between 620 nm and 650 nm within 30 minutes.
Results of this assay are given in arbitrary values (ratio of sample optical density (OD) to OD of cutoff control). The arbitrary values are reported as positive or negative. A ratio of ≥1.0 is a positive result. A ratio of <1.0 is a negative result.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
The within-run imprecision was investigated using 6 serum samples with different concentrations covering the measurement range, including 2 samples near the cutoff. Tests were performed according to the package insert with 20 replicates for each sample. The % coefficient of variation (%CV) of the 20 replicates within the run was calculated. The following results were obtained:
Within-run imprecision
| | ANA Screen ELISA (IgG) Ratio | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | 1 | 2 | 3 | 4 | 5 | 6 |
| Mean Ratio: | 0.3 | 0.9 | 1.1 | 2.5 | 6.1 | 7.4 |
| Std. Deviation (SD) | 0.031 | 0.050 | 0.059 | 0.066 | 0.119 | 0.141 |
| %CV | 10.6% | 5.8% | 5.4% | 2.7% | 2.0% | 1.9% |
| Range of Ratios: | 0.2 – 0.3 | 0.8 – 0.9 | 1.0 – 1.2 | 2.3 – 2.6 | 5.8 – 6.3 | 7.1 – 7.7 |
| Expected Result: | Negative | Negative | Positive | Positive | Positive | Positive |
| % positive: | 0% | 0% | 100% | 100% | 100% | 100% |
| % negative: | 100% | 100% | 0% | 0% | 0% | 0% |
The between-run imprecision was investigated using 10 serum samples with different concentrations covering the measurement range, including 2 samples near the cutoff. Tests were performed according to the package insert with 3 replicates of each sample performed in 10 different runs on 5 days with 2 runs per day. The %CV was calculated by assessing between-run analysis of variance. The square root of the mean square of between-run variation was utilized to calculate the SD of this variance component. The following results were obtained (Ratio):
Page 4 of 10
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The Lot -to- Lot imprecision was investigated using 9 serum samples with different concentrations distributed over the measurement range including 1 sample near cutoff. The samples were tested using 3 different kit lots in 2 different runs with a single replicate of each sample according to the package insert. The mean and SD of each sample in each lot was calculated. The %CV across the three lots was calculated from the SD of the three values in each lot for each sample concentration. The following results were obtained (Ratio):
Lot-to-lot imprecision sorted by increasing Screen ELISA (IgG) Ratios
| | ANA Screen ELISA (IgG) Ratio | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Sample | 1 | 2 | 3 | 4 | 5 | 6 |
| Mean Ratio: | 0.59 | 0.85 | 1.06 | 2.71 | 5.99 | 7.58 |
| SD | 0.086 | 0.095 | 0.117 | 0.298 | 0.366 | 0.330 |
| %CV | 14.6% | 11.1% | 11.0% | 11.0% | 6.1% | 4.4% |
| Range of Ratios: | 0.5 – 0.7 | 0.7 – 1.0 | 1.0 – 1.2 | 2.5 – 3.0 | 5.4 – 6.4 | 7.2 – 8.0 |
| Expected Result: | Negative | Negative | Positive | Positive | Positive | Positive |
| % positive: | 0% | 0% | 100% | 100% | 100% | 100% |
| % negative: | 100% | 100% | 0% | 0% | 0% | 0% |
| | | | | | | |
| Sample | 7 | 8 | 9 | 10 | | |
| Mean Ratio | 2.44 | 4.13 | 1.02 | 2.80 | | |
| SD | 0.303 | 0.517 | 0.134 | 0.488 | | |
| %CV | 12.4% | 12.5% | 13.2% | 17.4% | | |
| Range of Ratios: | 1.6 – 3.1 | 3.3 – 4.9 | 0.8 – 1.2 | 2.0 – 3.5 | | |
| Expected Result: | Positive | Positive | Positive | Positive | | |
| % positive: | 100% | 100% | 100% | 100% | | |
| % negative: | 0% | 0% | 0% | 0% | | |
| | ANA Screen ELISA (IgG) Ratio | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | 1 | 4 | 6 | 9 | 2 | 8 | 5 | 3 | 7 |
| Determinations: | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 |
| Mean Ratio: | 0.167 | 1.100 | 1.967 | 1.967 | 2.083 | 2.267 | 3.083 | 3.667 | 4.817 |
| SD | 0.058 | 0.087 | 0.407 | 0.407 | 0.202 | 0.375 | 0.058 | 0.462 | 0.722 |
| %CV | 34.6% | 7.9% | 20.7% | 20.7% | 9.7% | 16.6% | 1.9% | 12.6% | 15.0% |
| Range of Ratios: | 0.1 – 0.2 | 1.0 – 1.2 | 1.5 – 2.3 | 1.5 – 2.2 | 1.9 – 2.4 | 1.9 – 2.7 | 3.0 – 3.2 | 3.4 – 4.3 | 4.4- 5.7 |
| Expected Result: | Negative | Positive | Positive | Positive | Positive | Positive | Positive | Positive | Positive |
| % positive: | 0% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% |
| % negative: | 100% | 0% | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
For samples with IgG ratios between 1.0 and 5.0, the lot-to-lot $\% \mathrm{CV}$ ranged from $2\%$ to $20\%$ .
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b. Linearity/assay reportable range:
Not applicable.
High Dose Hook Effect
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
There is no recognized standard or reference material for anti-nuclear antibodies is available. Results of this assay are given in arbitrary values (ratio of sample OD to cutoff control OD).
Calibrators & Controls
The calibrator and controls are derived from human serum, purchased from commercial sources. The serum is tested and found negative for HBsAg, anti-HCV, anti-HIV-1 and anti-HIV-2. The calibrator is manufactured by dilution of the human serum with stabilizing buffer and adjusted to match the required performance criteria in use with the corresponding microtiter strip lot and the corresponding kit controls. The new lot of calibrator is assayed using a reference panel of at least 8 positive and 2 negative reference sera (distributed over the measurement range). By further dilution or spiking with the original serum, the calibrators are adjusted until the following acceptance criteria are met: At least 6 of the 8 positive sera must be found within the established acceptable ranges. The OD of the negative sera must be below the OD of the calibrator. After the adjustment is completed, the components of the new ELISA kit lot are tested together.
Stability
Three production lots of all kit reagents were tested and determined to be over 12 months for all components. The reconstituted Wash Buffer is stable for up to 28 days. The opened reagents are stable for 6 months.
d. Detection limit:
Not applicable.
e. Analytical specificity:
Cross-reactivity: Cross reactivity was investigated using a total of 82 clinically and serologically characterized samples (10 celiac disease for antibodies against gliadin and tissue transglutaminase, 17 Wegener's granulomatosis for ANCA, 39 rheumatoid
Page 6 of 10
{6}
arthritis for antibodies against CCP and 16 infectious diseases antibody positive samples). All samples (except 1 sample with ANCA reactivity from a subject with Wegener's granulomatosis and 1 sample with antibodies against CCP from a subject with rheumatoid arthritis) were negative in the ANA Screen ELISA (IgG), so minimal cross reactivity is expected.
Interference: To investigate the influence from hemoglobin, triglycerides and bilirubin, four different specimens at different ANA concentrations (ratio 0.5 – 7.3) were spiked with potential interfering substances and were incubated with the test system. The recovery in relation to the un-spiked sample without interferent was calculated. The individual recovery of the positive or borderline samples was within the range of 92 – 107%. No significant interference was observed for concentrations of up to 1000 mg/dL for hemoglobin, 2000 mg/dL for triglyceride and 40 mg/dL for bilirubin. Furthermore, the influence from rheumatoid factor was investigated by spiking of 6 different specimens with a rheumatoid factor positive material (characterized nephelometrically). The recovery in relation to the original sample (not spiked) was calculated. The recoveries were found within 100 - 110%. No interference (≤ ± 10%) was observed with rheumatoid factor up to 500 IU/mL.
f. Assay cut-off:
The assay cutoff is a ratio of 1.0.
2. Comparison studies:
a. Method comparison with predicate device:
A comparison study was performed using 158 clinically characterized samples from patients (49 MCTD, 37 systemic lupus erythematosus, 37 Sjögren’s syndrome, 19 systemic sclerosis, 16 myositis) and 132 from control groups (10 celiac disease, 17 Wegener’s granulomatosis, 39 rheumatoid arthritis, 16 infectious disease and 50 healthy), obtained from different sources. The panel consisted of 101 men and 174 women (and 14 unknown). Age ranged from 7 to 87 years with an average age of 46 years (15 unknown). The samples were tested with the EUROIMMUN ANA Screen ELISA (IgG) and with the Aesku Aeskulisa ANA Hep-2 as the predicate device. The results are shown in the table below. The discrepant samples were from controls and one MCTD sample in the cut-off range.
| n = 290 | Predicate ELISA | | |
| --- | --- | --- | --- |
| | | positive | negative |
| EUROIMMUN
ANA Screen ELISA
(IgG) | positive | 137 | 3 |
| | negative | 5 | 145 |
Negative Agreement 145/148 = 98.0% 95% C.I.: 94.2%-99.6%
Positive Agreement 137/142 = 96.5% 95% C.I.: 92.0%-98.8%
Overall Agreement 282/290 = 97.2% 95% C.I.: 94.6%-98.8%
Page 7 of 10
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The reactivity of the ANA Screen ELISA (IgG) was verified using the CDC ANA reference panel. All samples were positive with the ANA Screen ELISA (IgG), except for those characterized as nucleolar/U3 RNP (Fibrillarin) and PM-Scl positive. These two target antigens are not included in the antigen spectrum of the ANA Screen ELISA (IgG).
CDC panel results
| No. | CDC characterization | ANA-Screen | |
| --- | --- | --- | --- |
| | | Ratio | Result |
| 1 | homogenous/rim/nD | 3.0 | Positive |
| 2 | speckled/SS-B | 6.8 | Positive |
| 3 | Speckled | 7.7 | Positive |
| 4 | U1 RNP | 7.3 | Positive |
| 5 | Sm | 5.2 | Positive |
| 6 | nucleolar/U3 RNP (Fibrillarin) | 0.0 | Negative |
| 7 | SS-A/Ro | 5.1 | Positive |
| 8 | Centromere | 4.4 | Positive |
| 9 | Scl-70 | 6.1 | Positive |
| 10 | Jo-1 | 4.9 | Positive |
| 11 | PM-Scl | 0.0 | Negative |
| 12 | ribosomal P-proteins | 2.0 | Positive |
## b. Matrix comparison:
The usability of plasma was investigated using sample pairs each of serum and corresponding plasma (EDTA, Li-heparin, Citrate). Passing-Bablok regression was calculated for the comparison of serum to plasma. Results of the regression analysis and mean % recovery are shown below.
| | EDTA plasma | Li-heparin plasma | Citrate plasma |
| --- | --- | --- | --- |
| N | 12 | 12 | 12 |
| Regression Equation: (y = plasma, x = serum) | y = 0.04 + 0.99 x | y = -0.04 + 1.00 x | y = -0.00 + 0.99 x |
| 95% C.I. of intercept | -0.02 - 0.13 | -0.10 - 0.01 | -0.02 - 0.05 |
| 95% C.I. of slope | 0.96 - 1.02 | 0.98 - 1.03 | 0.95 - 1.00 |
| Coefficient of determination R² | 0.9988 | 0.9992 | 0.9990 |
| Mean %recovery | 103 % | 99 % | 98 % |
| Range of %recovery | 98 - 112 % | 90 - 109 % | 95 - 104 % |
## 3. Clinical studies:
a. Clinical Sensitivity and Clinical Specificity:
{8}
Clinical studies were performed in cooperation with different sites. In total 738 clinically characterized samples were investigated for anti-nuclear antibodies (IgG). The EUROIMMUN ANA Screen ELISA (IgG) showed an overall sensitivity of 72.5% (95% C.I.: 68.0 – 76.7%) and a specificity of 95.8% (95% C.I.: 92.9 – 97.7%). 95% C.I. are calculated by the exact method. The results are shown in the table below.
| No. | Panel | n | ANA Screen ELISA (IgG) | | |
| --- | --- | --- | --- | --- | --- |
| | | | positive | % | 95% C.I. |
| 1 | Mixed connective tissue diseases | 21 | 20 | 95.2% | 76.2 – 99.9% |
| 2 | Systemic lupus erythematosus | 213 | 156 | 73.2% | 66.8 – 79.1% |
| 3 | Polymyositis/dermatomyositis | 26 | 4 | 15.4% | 4.4 – 34.9% |
| 4 | Systemic sclerosis | 81 | 59 | 72.8% | 61.8 – 82.1% |
| 5 | Sjögren’s syndrome | 88 | 72 | 81.8% | 72.2 – 89.2% |
| | Total | 429 | 311 | 72.5% | 68.0 – 76.7% |
| No. | Panel | n | ANA Screen ELISA (IgG) | | |
| --- | --- | --- | --- | --- | --- |
| | | | negative | % | 95% C.I. |
| 6 | Celiac disease | 10 | 10 | 100.0% | 69.2 – 100.0% |
| 7 | Wegener’s granulomatosis | 17 | 16 | 94.1% | 71.3 – 99.9% |
| 8 | Rheumatoid arthritis | 203 | 191 | 94.1% | 89.9 – 96.9% |
| 9 | Other autoimmune diseases* | 63 | 63 | 100.0% | 94.3 – 100.0% |
| 10 | Bacterial/viral infections | 16 | 16 | 100.0% | 79.4 – 100.0% |
| | Total | 309 | 296 | 95.8% | 92.9 – 97.7% |
*from the following groups: AIH (n = 8), PBC (n = 9), Grave’s disease (n = 12), Hashimoto (n = 11), celiac disease (n = 11), Diabetes Type I (n = 12)
b. Other clinical supportive data (when a. is not applicable):
Not applicable.
4. Clinical cut-off:
See Assay Cut-Off.
5. Expected values/Reference range:
The levels of ANA (IgG) were analyzed in a panel of 200 samples from apparently healthy blood donors (120 men and 80 women with an average age of 40 years; age range: 19 – 68 years). The results are shown in the table below.
| n | 200 |
| --- | --- |
| Positives | 6 |
| Negatives | 194 |
| Prevalence | 3.0% |
| Ratio Mean±SD | 0.2 (0.4) |
| Ratio Range | 0.1-4.5 |
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N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Page 10 of 10
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Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.