PREDICTING DISEASE OUTCOMES USING MACHINE LEARNED MODELS

Embodiments of the disclosure include implementing a ML-enabled cellular disease model for validating an intervention, identifying patient populations that are likely responders to an intervention, and developing a therapeutic structure-activity relationship screen. To generate a cellular disease mo...

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Hauptverfasser:	SALICK, Max, R, KOLLER, Daphne, KAYKAS, Ajamete, STANITSAS, Panagiotis Dimitrios, SHARON, Eilon, RIESSELMAN, Adam, Joseph, KATEGAYA, Lorn, COTTA-RAMUSINO, Cecilia, Giovanna, Silvia, CASALE, Francesco Paolo, SULTAN, Mohammad Muneeb, PALMEDO, Peter, Franklin, Jr
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	BEER BIOCHEMISTRY CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ENZYMOLOGY HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS VINEGAR WINE
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