AI Case Study
Sanofi Pasteur plans to make vaccines more effective by assessing biomarkers of influenza vaccination outcomes with machine learning
Sanofi Pasteur, the influenza vaccine global leader, is teaming up with BERG to gauge effectiveness of influenza vaccines among different groups of people. Sanofi will use BERG's AI platform, to model and analyse vaccination outcomes to identify molecular signatures and potential biomarkers and their impact on Influenza vaccine immunological response. This will help them develop more effective vaccines for different groups.
Pharmaceuticals And Biotech
"The Berg Interrogative Biology® includes multi-omic profiling of samples from individuals participating in a longitudinal study with Sanofi Pasteur licensed vaccines and subsequent use of our bAIcis® artificial intelligence tool with the aim to identify molecular signatures and potential biomarkers indicative of breadth and durability of the Influenza vaccine immunological response"
From FT, " Sanofi will share human fluid samples and data records with Massachusetts-based Berg, which will use its analytics platform to determine why vaccines work for some people but are ineffective for others.
The companies will assess “different populations, races, different ages, different geographies” to gauge whether certain vaccines are more effective in “say, Asia versus Africa versus the US or the UK”.
By combining Sanofi’s samples with Berg’s own database of tissue samples and other patient clinical information, “we’ll have a good read on the biological story of those samples from different groups and then use AI to make predictions about those groups”, he said."
Research phase; results not yet available however, targeted and more effective flu vaccines can help prevent flu from spreading.
"BERG's Interrogative Biology® platform uses bAIcis® artificial intelligence for data driven analysis of high throughput molecular and clinical information. It is a proven methodology in extracting actionable insights from disparate and unmanageably large (by conventional standards) data sets."
Digital Data Management
"Every year 10-20% of the population is affected by flu and in approximately 200,000 cases it results in hospitalization with extreme cases resulting in death. CDC recommends everyone above six months get vaccination."
"The Berg Interrogative Biology® includes multi-omic profiling of samples from individuals participating in a longitudinal study with Sanofi Pasteur licensed vaccines and subsequent use of our bAIcis® artificial intelligence tool with the aim to identify molecular signatures and potential biomarkers indicative of breadth and durability of the Influenza vaccine immunological response."
According to Clinicalomics, "Designed to combine systems biology and artificial intelligence, the Interrogative Biology platform is designed to collects both healthy and disease-state patient samples for processing by Berg’s high throughput mass spectrometer workflow. The platform carries out analysis of the genome, proteome, lipidome and metabolome, and also looks at mitochondrial function, oxidative states, and ATP production to examine cell functioning.
That process, according to Berg, produces trillions of data points from a single sample—data that is then combined with patient clinical information and analyzed by bAIcis."