Are patients on drug treatments when we look at the progression-free survival graph?

Yes, probably the patient would be taking some form of drug treatment when we look at the progression-free survival graph. Basically, the patients were not treatment free at the time.

Other Questions

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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.

How do I collect an FNA sample?

Disinfect the skin with alcohol (70%) at the planned needle puncture site. Insert a 20-gauge needle (without syringe) into an enlarged lymph node and perform 15 - 20 aspirations using an aggressive “woodpecker style” technique. (Click to Read More)

Would we need to set up a Vet Portal for each doctor or just our hospital?

If you would like to set up accounts for the hospital, please send us a list of doctors' names and email addresses as well as any support staff who would need access to the Vet Portal. Each doctor can also register independently on the Vet Portal. Please note the report will be sent to the ordering veterinarian's email, not to all hospital accounts.

How do we ship?

Please follow these steps to prepare the box and ship the sample to our lab. (Click to read more)

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.