SFL Science-as-AI Methodology
Predicting Immuno-dominant Epitopes in Allergens Using ML
Allergic diseases are the most widespread type of immune disorder in the world. Allergic reactions occur when serum immune system responses bind to allergens, using protein binding sites called epitopes.
SFL Scientific is working on leveraging the data we have to accelerate the process of epitope interaction mapping.
Digitizing the Drug Discovery Pipeline
Effective AI solutions discover and leverage patterns in data. We work with your teams to identify and execute on custom AI solutions for your workflows.
Traditional AI development focuses on technical results before business intelligence; our AI Discovery process mimics Drug Discovery.
Starting from a detailed understanding of your workflows, we prioritize high-ROI solutions that can be integrated into existing IT resources.
Designing the Next COVID-19 Vaccine
Our team of interdisciplinary scientists is developing hyper-targeted AI solutions to address your pain points.
Our approach places your data at the center of the discovery process.
Our goal is to provide bench scientists with anticipatory intelligence to inform experiment design and expose unexpected connections.
Meet our Drug Discovery TeamMeet the Team
Annabel Romero, PhDDirector of Drug Discovery & Molecular Modeling
Benjamin Letson, PhDDirector of Healthcare & Life Sciences
Chris HaydukSolutions Architect, Machine Learning
Brandon MuirDirector of AI Partnerships
Looking to Learn More?
Contact the Drug Discovery Team.Contact Us
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