AI + Life Sciences
A collaboration to meet the moment.
The Global Nexus for AI + Life Sciences
Advances in AI and multi-omic data generation promise to transform life sciences research and development. Join us as we harness the combined power of use-inspired research, a number-one ranked Co-op program, and a delivery-focused data science team to democratize access to AI technology and create a healthier, more equitable future.
AI + Life Sciences
Accelerate discovery. Reduce risk. Deliver results.
See how Northeastern partners with life sciences organizations to apply AI across R&D, clinical development, commercialization, and regulated innovation.
View AI + Life Sciences SheetWhy Partner with AI+Health and Life Sciences at Northeastern University?
Cutting-edge research, talent, and world-leading AI applications.
Why Partner With Us
Cutting-edge research, talent, and world-leading AI applications.
Explore how Northeastern applies AI to complex health and life sciences challenges, from drug discovery and multi-omics to clinical monitoring and medical imaging.
View Partnership OverviewNortheastern Proteomics Capabilities
Explore Northeastern University’s proteomics capabilities across single-cell sample prep, quantitative and targeted proteomics, PTM analysis, metabolomics, and AI-driven methodologies.
View the One-Sheet
AI + Life Sciences Research that Accelerates the Development of Diagnostics, Treatments, Biologicals, and More
Powered by Northeastern University’s proven experiential learning and use-inspired research model, our leaders collaborate across IP, research, training, data, and more to reduce cost curves, improve the probability of success in designing drugs and diagnostics, and find patients who will benefit from established pharmaceuticals.
How We Collaborate With Partners
With our focus on near-term deliverables and closing the knowledge gap, we ensure AI works for your organization. Our leaders collaborate across IP, research, training, data, and more to reduce cost curves, improve the probability of success in developing drugs and diagnostics, and find patients who will benefit from established pharmaceuticals.
Reducing time-to-market and increasing confidence for therapeutics, biologicals, diagnostics and more.
Developing novel AI approaches for single cell 'omics data, pharmaceutical developability, and global health security.
Accelerating drug discoveries, identifying novel biomolecule combinations, and validating AI models.
Teaching, placing Co-ops in businesses and upskilling employees.
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