We deliver the optimal result with our on-demand AI platform.

RAPTOR AI™

New Indication

We maximize the value of new drugs by identifying new indications with minimum cost and in a shorter time in collaboration with partners.

  • Input

    • 01

      Drug Signature Transcriptome Data

    • 02

      Disease Transcriptome Data

  • Output

    • 01

      New Indication

      We identify a new indication other than the original indication of the drug candidate under development.

    • 02

      Combination Drug

      We identify a combination drug that can improve the efficacy synergistically with the original drug.

Reference 01

New Indication Expansion

We identified a new indication of a drug candidate in Phase II.

We analyzed the transcriptome data of a new drug candidate that is in Phase II clinical trial, an asset of our collaborating pharmaceutical company. RAPTOR AI™ predicted that the drug candidate will show high efficacy in the liver disease treatment. We validated the efficacy through in vitro and in vivo validation and currently planning a clinical trials after filing a patent application. Our partner pharmaceutical company was able to add a clinical stage pipeline that has high unmet medical needs while saving 95% of the cost and almost 7 years that is required to reach phase I from early drug discovery.

Reference 02

Combination Drug

The 1st L/O from an AI Biotech to a traditional pharmaceutical company.

We set sarcopenia as a target disease and ran RAPTOR AI™ to search for the drugs that will show efficacy in treating the disease. We identified two drugs that can show high efficacy when used simultaneously and validated them through in vitro and in vivo studies. We licensed out to Korea Pharma, which recorded the 1st L/O deal of an AI-developed drug from an AI Biotech to a traditional pharmaceutical company.

ONCO-RAPTOR AI™

Optimal Cancer Type Identification

Efficient clinical trials can be carried out by identifying the optimal cancer types for the anti-cancer drug under development.

  • Input

    • 01

      Anti-Cancer Drug Signature Transcriptome Data

    • 02

      Cancer Prognosis Transcriptome Data

  • Output

    • 01

      Optimal Cancer Type

      We identify the optimal cancer types for the given anti-cancer drug.

    • 02

      Companion Biomarker

      We identify the companion biomarker for the given anti-cancer drug.

Reference 01

Optimal Cancer Type Identification

With ONCO-RAPTOR AI™, we identified the most optimal cancer types for the anti-cancer drug preparing to begin clinical trials.

A pharmaceutical company was preparing for clinical trials for the anti-cancer drug with 5 specific cancer types. They requested us to predict the optimal cancer types for their drug. Using ONCO-RAPTOR AI™ we identified the 5 optimal cancer types, which 4 types matched with their clinical design, but 1 type showed a poor prognosis if administered to that specific cancer patients. We presented our result and the company redesigned clinical trials according to our predicted types and began global clinical trials which is currently ongoing.

ONCOfind AI™

CUP Primary Site Identification

We identify the primary site of the Carcinoma of Unknown Primary (“CUP”) within 42 types of cancers with 99.8% accuracy.

  • Input

    • 01

      CUP Patient’s Cancer Tissue Transcriptome Data

  • Output

    • 01

      CUP Primary Site Identification

      We identify the primary site of the Carcinoma of Unknown Primary (“CUP”)

    • 02

      Recommend the Optimal Anti-Cancer Treatment

      We recommend the optimal treatment according to the original cancer tumor.

Reference 01

Recommending the Optimal Treatment

ONCOfind AI™, with the highest accuracy in Korea, will identify the primary cancer site.

CUP is a cancer type which metastasized cancer cells are found but the primary tumor site is unknown, and accounts for 3-5% of all cancers. Immunohistochemical staining is used as a conventional method of detect the primary tumor site, but the accuracy is only at around 65%. Currently there are no CUP screening service providers in Korea and only 5-6 service providers exist globally. However, their accuracy ranges between 70-90%. ONCOfind AI™ shows accuracy of upto 99.8% in identifying the primary site within 42 types of cancers.

Oncocross New Drug Development Pipelines

We are developing pipelines on cancers, rare diseases, intractable diseases, and metabolic diseases on our own as well as through collaboration with pharmaceutical company, research institutes, and innovative biotechs.