How do vets report back the outcomes to feed back into the AI model? Is this something that can be easily done via the Vet portal?

We usually send you an email asking for patient records about 3-6 months after you receive the final ImpriMed report. Once we receive the record, we input the data into the AI Models, it is not yet something that can be submitted on the Vet Portal.

Other Questions

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Does the veterinarian have to be the one to order the ImpriMed services?

No, any staff member affiliated with a veterinarian can submit or order via our portal so long as the leading veterinarian has an account setup.

How much research do you have to support your results?

All of our products are thoroughly validated in-house using clinical outcomes data and we have published multiple peer-reviewed papers demonstrating the efficacy of our predictions (Veterinary Sciences and Veterinary and Comparative Oncology). We have run over 12,000 tests on hematopoietic cells, and over 4,000 canine patients that have benefited from our services. We believe we have more data on canine lymphoma than any other company in the world.

How long until I get my ImpriMed report?

Our flow cytometry, PARR, and Immunoprofile reports are emailed to you 3-4 days after receipt of your patient’s sample(s) at our lab. The Personalized Prediction Profile reports are emailed to you 6-7 days after receipt of your patient’s sample(s) at our lab.

How do vets report back the outcomes to feed back into the AI model? Is this something that can be easily done via the Vet portal?

We usually send you an email asking for patient records about 3-6 months after you receive the final ImpriMed report. Once we receive the record, we input the data into the AI Models, it is not yet something that can be submitted on the Vet Portal.

How does ImpriMed predict drug responses?

Our predictions are made by artificial intelligence (AI) models trained to predict clinical outcomes from patient data inputs. Clinical outcomes collected from oncologists include reports of progressive disease, stable disease, partial response, and complete response. Patient data used as inputs by the AI models include readings from our live-cell drug sensitivity assay, flow cytometry, PARR, and patient information.Models are re-trained periodically to incorporate new data and refine performance.