Human precision medicine

Supporting personalized care of the human patients

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

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

ImpriMed is developing precision medicine services for human multiple myeloma, acute myeloid leukemia, and non-hodgkin lymphoma.
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 the service in S. Korea, the U.S., and other countries. We are also developing NDMM-2, which can support personalized optimization of melphalan dosage for transplant eligible NDMM.

02. Acute myeloid leukemia, AML

technologies for AML

We have developed, patented, and are in the process of publishing technology, namely AML-1. The technology utilizes the patient-derived cancer cells’ sensitivity to 21 anti-cancer drugs, which enables predicting his or her response and/or survival following the treatment by one of the two regimens:

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

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 AML patient is treated by the therapy to which he or she 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 will be presenting about AML-1 in conferences starting the last quarter of 2023, and file for approval in S. Korea and international regions with the hope of providing the commercial service by 2025.

03. Non-hodgkin lymphoma, NHL

technologies for NHL

We have developed, patented, and are in the process of publishing technology, namely NHL-1. The technology utilizes the patient-derived cancer cells’ sensitivity to 18 anti-cancer drugs, which enables predicting his or her 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 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 for the low risk subgroup as shown in 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 will be presenting about NHL-1 in conferences starting the last quarter of 2023, and file for approval in S. Korea and international regions with the hope of providing the commercial service by 2025.

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