How much blood is required for Personalized Prediction Profile for Canine Lymphoma?

We require at least 2mL of whole blood sample in an EDTA-treated tube.

Other Questions

Back to Help Center

Do you need me to provide you with passwords for the hospital accounts?

No, we don’t need the password to associate the doctors and hospital. Once we register it, the password will be sent to the corresponding emails.

How do I prepare serum and saline tube?

If you do not have our proprietary media tubes handy at the moment, please use the serum and saline protocol from the CSU Hemapathology Lab

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.

What does the ImpriMed Personalized Prediction Profile include?

The Personalized Prediction Profile includes our Immunoprofile report and anticancer drug response predictions generated by artificial intelligence models. The predictions include estimates of both (1) the likelihood of a positive clinical response (partial response/ complete remission) to individual anticancer drugs and (2) the likelihood complete remission after 1 or 2 cycles of CHOP therapy, and the likelihood of early relapse after a successful CHOP regimen. Outcome predictions are currently provided for 13 individual drugs that are commonly used in many first-line and rescue protocols for the treatment of canine lymphoma (including CHOP, LOPP, MOPP, LPP, Tavonea only, etc…). Predictions are included for Doxorubicin, Cyclophosphamide, Vincristine, Vinblastine, Prednisone, Rabacfosadine (Tanovea®), L-Asparaginase, Lomustine, Mitoxantrone, Mechlorethamine, Dexamethasone, Chlorambucil, and Melphalan.

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.