CRO Services

Live cell + AI platform

Pushing the boundaries of precision medicine with live cell analysis and AI to support personalized treatments.

Live-Cell-Based CRO Services

신약 개발 지원 정밀의료

임프리메드는 항암제에 대한 체외 약물 감수성 분석(ex vivo drug sensitivities)을 위한 독점적인 방법을 개발하였습니다.

임프리메드는 항암제에 대한 체외 약물 감수성 분석을 위한 독점적인 방법을 개발하였습니다.

암세포에 대한 기능 및/또는 유전체 특성과 함께 감수성 분석 결과를 다음과 같은 방식으로 활용할 수 있습니다.

Live-cell-based CRO services we offer

Service Options
Drug Development Stage

Results

Process

01.
Immunophenotyping & genotyping
01. Immunophenotyping & genotyping
  • Drug screening
  • Pre-clinical
  • Phases I, II, and III
  • Flow cytometry
  • PCR for antigen receptor rearrangements (PARR)
  • Gene mutations or expressions
  • Immunophenotyping + genotyping report including prognostic information
ImpriMed offers immunophenotyping services
Immunophenotyping
Assay
02.
Ex vivo drug sensitivity test
02. Ex vivo drug sensitivity test
  • Drug screening
  • Pre-clinical
  • Phases I, II, and III
  • Ex vivo sensitivity of the new drug compound(s) on patients’ live cancer cells
  • AI-driven drug response prediction scores for conventional drugs
  • Time-course efficacy and prognosis prediction for a gold standard combinatorial protocol
ImpriMed offers immunophenotyping services
Immunophenotyping
Assay
ImpriMed offers drug sensitivity tests
Drug Sensitivity Assay
03.
Responder vs. Non-responder profiling
03. Responder vs. Non-responder
  • Pre-clinical
  • Phases I
  • Refined inclusion criteria for clinical trials based on responding patients’:
  • Immune subtypes (antigen expression profiles using 10+ antibodies)
  • Ex vivo responses against the new drug compound(s) and the drug panel
  • Naive/relapse and signalment information, etc.
ImpriMed offers immunophenotyping services
Immunophenotyping
Assay
ImpriMed offers drug sensitivity tests
Drug Sensitivity Assay
ImpriMed offers data analytics
Data Analysis (Population-based)
04.
Identification of synergistic combination
04. Identification of synergistic combination
  • Pre-clinical
  • Phases I
  • Live-cell based, ex vivo population study data investigate new drug combinations between the existing drugs and the new drug compound(s)
  • Mechanism of action analysis
  • New target(s) identification
ImpriMed offers immunophenotyping services
Immunophenotyping
Assay
ImpriMed offers drug sensitivity tests
Drug Sensitivity Assay
ImpriMed offers data analytics
Data Analysis (Population-based)
05.
Response predictions for individual patients
05. Response predictions for individual patients
  • Phases II and III
  • All the above results throughout the life of the clinical study or trial
  • Development of a companion diagnostic AI model that predicts clinical response and prognosis of the new drug compound
  • Adding the new drug(s) to the drug panel in ImpriMed’s commercial services
ImpriMed offers immunophenotyping services
Immunophenotyping
Assay
ImpriMed offers drug sensitivity tests
Drug Sensitivity Assay
ImpriMed provides AI-driven personalized medicine services
Model Development
& Data Analysis
(Personalized)

상기 서비스는 AML 혹은 NHL을 대상으로 하는 약물 후보에 대해 제공 가능합니다.
보다 자세한 문의는 imprimedkorea@imprimedicine.com를 통해 제공해 드리겠습니다.

Develop, validate, and commercialize machine learning models trained with your datasets

AI-Driven CRO Services

AI로 데이터의 가치를 극대화합니다

제공하신 데이터로 AI 모델을 훈련하여 모델을 만들고, 검증된 프로토콜로 성능을 평가합니다.

AI-Driven CRO services we offer

Service Options

Results

Process

01.
Statistical analysis of your datasets
01. Immunophenotyping & genotyping
  • Hypothesis testing
  • Survival analysis
  • Univariate, multivariate analysis
  • Comparative analysis
Statistical Analysis
02.
Machine learning model development
02. Ex vivo drug sensitivity test
  • Includes statistical analysis
  • Preprocessing of the datasets
  • Development of machine learning models
  • Cross-fold validation of the models
Statistical Analysis
ML Model Development
03.
Validation of machine learning models
03. Responder vs. Non-responder
  • Includes statistical analysis
  • Independent validation of your machine learning model performance
  • Perform test using independent datasets from other institutions
Statistical Analysis
ML Model Development
ML Model Testing
04.
Commercialization of your machine learning model
05. Response predictions for individual patients
  • Includes validation of the ML model(s)
  • Have your ML models be commercially available
Statistical Analysis
ML Model Development
ML Model Testing
Productionization

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