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Our research focuses on creating and commercializing high-precision, affordable and scalable machine learning technologies and solutions across three key areas.

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Clinical AI
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Drug Discovery
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Epidemiology

Research Projects

Improving influenza A vaccine strain selection through deep evolutionary models
2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
2023
A Deep Dive into Single-Cell RNA Sequencing Foundation Models
2023
Annotating metabolite mass spectra with domain-inspired chemical formula transformers
2023
Artificial intelligence for science in quantum, atomistic, and continuum systems
2023
De novo design of protein structure and function with RFdiffusion
2023
S(E3) diffusion model with application to protein backbone generation
2023
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
2023
An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study
2023
Considering Biased Data as Informative Artifacts in AI-Assisted Health Care
2023
Conceptualizing machine learning for dynamic information retrieval of electronic health record notes
2023
Conformal Language Modeling
2023
Evaluating the impact of social determinants on health prediction in the intensive care unit
2023
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
2023
Change is hard: a closer look at subpopulation shift
2023
Data Consistent Deep Rigid MRI Motion Correction
2023
Sybil: a validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography
2023
COVID-19: prediction, prevalence, and the operations of vaccine allocation
2022
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