Bookmarks
Exploratory ML Based Longitudinal Modelling Approaches to Map Genetic-Phenotypic Multi-Trait Predictors of Fibrosis
Safe People
Organisation name
Boehringer Ingelheim
Organisation sector
Commercial
Applicant name(s)
Nathan Lawless
Zhihao Ding
Dr
Safe Projects
Project ID
B3799
Lay summary
Global Computational Biology & Digital Sciences (GCBDS) is a department in Boehringer Ingelheim’s Innovation Unit (IU) and is principally engaged in early discovery research programs. In 2020 the IU embarked on a curriculum to more deeply explore healthcare databases and biobank initiatives. The overall objective of the program is to explore advanced analytical methods to harness genomic & phenotypic data in order to better understand causative pathological mechanisms for disease which have the long-term potential to support patients.
Public benefit statement
As previously outlined, Boehringer has a longstanding heritage in treating patients with a range of heterozygous respiratory diseases often underpinned by fibrosis. In these early exploratory analysis we aim to shed new light on the disease progression underpinning fibrosis and leverage our existing experience to support disease understanding.
Latest approval date
21/06/2021