Machine Learning for Computational Health
Our experts use machine learning, data mining, biomedical data science, computational neuroscience and other methods to address a broad range of biomedical problems, including Alzheimer’s disease, Parkinson’s disease, mobility issues, and more.
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Featured News
CBCB Team Publishes Innovative Research on Improving Parkinson’s Disease Diagnosis
The cross-institutional project, which uses machine learning to analyze wearable sensor data, could lead to more accurate and earlier diagnoses of people…
Cummings Awarded $2.7M to Study Impacts of Aging on the Brain
The $2.7M award will be spread across four years, supporting his team’s ongoing work that uses machine learning techniques to interpret “multiomics” data.
Cummings Employs Machine Learning to Tackle Addiction Crisis
The technology will be used to tailor treatment options to personalized patient factors like race, gender, location and educational backgrounds.