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Predictive Toxicity in Drug using TetraScience AI, INSTRUMENTS, DATA…
Predictive Toxicity in Drug using TetraScience AI
DATA HOROMIZATION
Standardizes data structure (json, csv)
Normalize Scales (retention time,OD)
Metadata Labelling (ID,settings)
TOXICITY PREDICTION BY TRAINED AI MODEL
Impurity and Degradation
Aggregation levels
Immune cell activation
Toxicity thresholds
Application areas
Early stage toxicity/immunogenicity screening
Early Risk detection prevent last stage failure
Lower R&D expenses
Less animal testing
Aling with CSL's digital transformation.
INSTRUMENTS
Spectrophotometer
HPLC
Flow Cytometry
Plate Reader (ELISA)
ELN
Metadata,protocol
Cyokines Levels
Immune activation
Pruity,Aggregats
Cell Vibility
DATA FORMAT
Chromatogram
Absorbance Spectra
Optical Density
FCS files
txt note data based files
TETRA SCIENCE INTEGRATION
APIs Ingestion
Meta data mapping
Data Tmeline