maximum efficacy at the same time as minimum adverse drug reactions
through drug-drug interaction analyses.
Framework
Leveraging years’ worth of Prescription Data, Mendelian Randomization, Network Analysis, and AI Algorithm, optimum drug combinations are suggested.
It recommends the best drug combinations by integrating drug efficacy, possible adverse drug reactions, and marketability.
COMBI FINDER
Simultaneous considerations in marketability and combined drug effects are implemented through analysis of prescription data (from 2 to N drug combination therapies).
Recommendations based on target diseases
and active drug ingredients.
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CANDIDATE A
INGRED 1
INGRED 2
INGRED 3
-
CANDIDATE B
INGRED 4
INGRED 5
INGRED 6
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CANDIDATE C
INGRED 7
INGRED 8
INGRED 9
Recommendation of optimized combination structures of drug compounds.
Confirmation of existing combination drugs
(fixed-dose combinations of 2 to N drugs).
DEEPCT
Comparison of clinical outcome between no treatment, monotherapy, or combination therapy groups
Example of Visualized Results
Credit
- Project Manager
- Jungeun Kim
- AI algorithm Developer
- Jiyeon Kim, Suhan Cho
- Project Leader
- Suhan Cho
- Network analysis
- Jiyeon Kim, Yujeong Shim