BIOTECHNOLOGY USE CASE
For a biotech in GUT-MICROBIOME THERAPEUTICS

R E Q U I R E M E N T
EXPLORE the existence of metagenomic signatures that would be predictive of a response to a developed drug for inflammatory bowel disease patients in a Phase IIa clinical trial
S E R V I C E S P R O V I D E D
- AGGREGATE data from more than 900 metagenomic signatures with clinical variables (Gender, Weight…) on 40 patients
- DEVELOP univariate methodology to keep relevant metagenomic signatures and clinical variables in the global model
- IMPLEMENT appropriate supervised Machine Learning algorithms for prediction of response/non-response
- COMPARE & CHOOSE the best algorithm for prediction using bootstrap and cross-validation
- IDENTIFY metagenomic signatures and clinical variables best explaining response/non-response to the treatment
D E L I V E R A B L E S & B E N E F I T S
PREDICTIVE MODEL for the response/non-response of patients
REPORT summarizing the methodology used, the algorithms developed and the results obtained
Requirement
EXPLORE the existence of metagenomic signatures that would be predictive of a response to a developed drug for inflammatory bowel disease patients in a Phase IIa clinical trial
Services provided
- AGGREGATE data from more than 900 metagenomic signatures with clinical variables (Gender, Weight…) on 40 patients
- DEVELOP univariate methodology to keep relevant metagenomic signatures and clinical variables in the global model
- IMPLEMENT appropriate supervised Machine Learning algorithms for prediction of response/non-response
- COMPARE & CHOOSE the best algorithm for prediction using bootstrap and cross-validation
- IDENTIFY metagenomic signatures and clinical variables best explaining response/non-response to the treatment
Deliverables & benefits
PREDICTIVE MODEL for the response/non-response of patients
REPORT summarizing the methodology used, the algorithms developed and the results obtained
Soladis Inc. - USA
185 Alewife Brook Pkwy, Unit 210
Cambridge, MA 02138-1100
Phone: (+1)857.675.1189
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