Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
(Source: BMC Alzheimer's Research and Therapy) New publication from Chonghua Xue, Bioinformatics Analyst and Dr. […]
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CBM research laboratories focus on developing new computational approaches to linking high-dimensional genomic datasets to human phenotypes across the specialty areas of internal medicine
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Our section serves to train graduate students, post doctorates and clinicians in the application of computational and molecular approaches to clinical studies.
CBM News
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Researchers develop machine learning methods to accurately identify, characterize metabolism-disrupting chemicals
Source: EurekAlert! Chemicals in your furniture, plastic housewares and pesticides used in your yard may […]
Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data
(Source: Oxford Academic) New publication from Dr. Stefano Monti, Associate Professor of Medicine in the […]
AAIC Travel Fellowship Awarded to Michael Romano
Michael Romano, MD/PhD student in the Kolachalama Lab, has been awarded a travel fellowship for […]
Shangran Qiu Awarded the 2021 Alvaro Rocarro Memorial Prize
Congratulations to Shangran Qiu, Bioinformatics Analyst in the Kolachalama Lab, for receiving the 2021 Alvaro […]
Thesis Defense – Xingyi Shi
Congratulations to CBM PhD candidate Xingyi Shi, who passed her thesis defense, "Bronchial Gene Expression […]
CBM Faculty Members Awarded CTSI 2021 Integrated Pilot Grants
Congratulations to Drs. Jennifer Beane, Joshua Campbell, Vijaya Kolachalama and Sarah Mazzilli for receiving Integrated […]
Deep learning-driven quantification of interstitial fibrosis in digitized kidney biopsies
(Source: The American Journal of Pathology) New publication from Dr. Vijaya Kolachalama, Assistant Professor of […]