Human Oncology

Optimize Cancer Patients' outcomes

We are developing and commercializing precision medicine technologies to support personalized selection of treatment.

임프리메드코리아는 사람 대상 정밀 의료 서비스를 개발하고 있습니다.

We have successfully commercialized the technologies for canine lymphoma, and have successfully developed prototype technologies for the following diseases:

Diagram on how ImpriMed's human oncology services work
Our technologies utilize the live cancer cells derived from the patients and artificial intelligence (AI) to predict response and/or survival specific to the choice of therapy.
01. newly diganosed MM, NDMM

technologies for newly diagnosed multiple myeloma (NDMM)

We have developed, patented, and published the technology, namely NDMM-1, capable of predicting each NDMM patient’s response and/or survival following the first-line treatment based on one of the following regimens:

  • bortezomib + melphalan + prednisone (VMP)
  • lenalidomide + dexamethasone (Rd)
  • bortezomib + lenalidomide + dexamethasone (VRd)

The technology utilizes AI to predict the probability of early disease progression, which enables stratification of the patients into the high vs low risk subgroups. Accordingly, longer survival is expected when an NDMM patient is treated by the therapy to which he or she is low risk to.

Evaluation Criteria

Therapies for the transplant ineligible

VMP

ROC-AUC
0.75
Hazard ratio
(95% confidence interval)
2.44
(1.61 – 3.70)
Evaluation Criteria

Therapies for the transplant ineligible

RD

ROC-AUC
0.93
Hazard ratio
(95% confidence interval)
4.08
(1.57 – 9.82)
Evaluation Criteria

Therapies for the transplant ineligible

VRd

ROC-AUC
0.87
Hazard ratio
(95% confidence interval)
7.14
(4.48 – 11.38)
Evaluation Criteria

Therapies for the transplant ineligible

VMP

Rd

VRd

ROC-AUC
0.75
0.93
0.87
Hazard ratio
(95% confidence interval)
2.44
(1.61 – 3.70)
4.08
(1.57 – 9.82)
7.14
(4.48 – 11.38)

We are currently filing approvals for the technology in order to provide our services in South Korea, the U.S., and other countries. We are also developing NDMM-2, which will support personalized optimization of melphalan dosage for transplant eligible NDMM.

Read our peer-reviewed scientific paper

ImpriMed's article on "ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma" was published in npj precision oncology

Published in npj Precision Oncology, May 2023

ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma

Read the Full Article
02. Acute myeloid leukemia, AML

technologies for AML

We have developed, patented, and are in the process of publishing our new technology for AML. The technology utilizes the patient-derived cancer cells’ sensitivity to 21 anticancer drugs, which enables predictions of the patient's response and/or survival following the treatment by one of the two regimens below:

  • venetoclax (VEN) + hypomethylating agent (HMA)
  • idarubicin (IDA) + cytarabine (araC)

The technology takes advantage of AI to predict the probability of early disease progression, which enables stratification of the patients into the high vs low risk subgroups. Consequently, longer survival is expected when an AML patient is treated by the therapy to which the patient is low risk to.

Evaluation Criteria

Therapies for the transplant ineligible

VEN + HMA

ROC-AUC
0.83
Hazard ratio
(95% confidence interval)
8.9 (0.7 – 108.9)
Evaluation Criteria

Therapies for the transplant ineligible

IDA + araC

ROC-AUC
0.83
Hazard ratio
(95% confidence interval)
6.5
(0.4 – 105.9)
Evaluation Criteria

Therapies for the AML

VEN + HMA

IDA + araC

ROC-AUC
0.83
0.83
Hazard ratio
(95% confidence interval)
8.9
(0.7 – 108.9)
6.5
(0.4 – 105.9)

We presented our AML technologies at the American Society of Hematology Annual Meeting in 2023, and have filed for approval in South Korea and other countries with the intention of launching our commercial services by 2025.

03. Non-hodgkin lymphoma, NHL

technologies for NHL

We have developed, patented, and are in the process of publishing our new technology for NHL. The technology utilizes the patient-derived cancer cells’ sensitivity to 18 anticancer drugs, which enables predictions of the patient's response and/or survival following the standard treatment for the two subtypes:

  • Aggressive NHL: diffuse large B-cell, T-cell, or mantle cell
  • Indolent NHL: B-cell, or follicular

The technology takes advantage of AI to predict the probability of early disease progression, which enables stratification of the patients into the high vs low risk subgroups. Consequently, longer survival is expected for the low risk subgroup as shown below.

Evaluation Criteria

Therapies for the transplant ineligible

Aggressive

ROC-AUC
0.97
Hazard ratio
(95% confidence interval)
8.1
(1.7 – 37.4)
Evaluation Criteria

Therapies for the transplant ineligible

Indolent

ROC-AUC
0.89
Hazard ratio
(95% confidence interval)
Not applicable
Evaluation Criteria

Therapies for the NHL

Aggressive

Indolent

ROC-AUC
0.97
0.89
Hazard ratio
(95% confidence interval)
8.1
(1.7 – 37.4)
Not applicable

We presented our NHL technologies at the American Society of Hematology Annual Meeting in 2023, and have filed for approval in South Korea and other countries with the intention of launching our commercial services by 2025.

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