Biotechnology use case

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