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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Is there any reason to believe that submitting another sample to you would provide any additional information or possible changes in treatment protocols now that we are almost 4 months into the treatment plan?

We would suggest you submit another FNA and blood samples to us WHEN the patient's lymphoma relapses. Relapse of lymphoma means that the cancer develops a resistance to certain chemo drugs in use. When this happens, the relapsed cancer cells are usually different from the ones investigated in the naive status, which led to different drug response predictions to the tested drugs. Therefore, it would be better to get new tumor samples and find out what are the new preferred drugs and which of the used drugs still remain effective or became resistant for the relapsed lymphoma. However, the best scenario is to maintain clinical remission for as long a period of time so that you don’t have to order another service from us! If a second service is needed, we offer a 50% discount for returning patients.

We have a case coming in today we would really like to submit but don’t have transport media tubes; is there any other method we could do in order to submit a sample, such as aspirating and placing it in tube with serum?

Please use serum and saline that you would normally do when you send to other reference laboratories.

What services does ImpriMed offer?

ImpriMed offers personalized medicine services to help you diagnose and treat canine lymphoma or leukemia. (Click to read more)

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.

Is it wise to eliminate a certain chemotherapy drug based on the test results or should there be other factors that need to be considered in this decision?

We do not recommend using ImpriMed's predictions to rule out treatment options. The company's artificial intelligence is optimized to give high positive predictive value to help you find drugs with the highest likelihood of producing positive clinical outcomes. For the bests results, our predictions should be used in conjunction with expert knowledge from a skilled oncologist.