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. Vijaya Kolachalama, Assistant Professor of Medicine in the Section of Computational Biomedicine. See below for a brief summary and click the link to read the whole article. Background Identification of reliable, affordable, and easy-to-use strategies for detection of dementia is […]

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 Section of Computational Biomedicine. See below for a brief summary and click the link to read the whole article. As high-throughput genomics assays become more efficient and cost effective, their utilization has become standard in large-scale biomedical projects. These studies […]

Subchondral bone length in knee osteoarthritis: A deep learning derived imaging measure and its association with radiographic and clinical outcomes

(Source: Wiley Online Library) New Publication from Dr. Vijaya Kochalama, Assistant Professor of Medicine in the Section of Computational Biomedicine. Please see below for a brief summary and click the link to read the full article. Objective Develop a bone shape measure that reflects the extent of cartilage loss and bone flattening in knee osteoarthritis […]

Animalcules: interactive microbiome analytics and visualization in R

Source: BMC (Part of Springer Nature) New publication from Dr. Evan Johnson, Dr. Stefano Monti, Anthony Federico and collaborators – see below for the abstract and to read more. Background Microbial communities that live in and on the human body play a vital role in health and disease. Recent advances in sequencing technologies have enabled […]

Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

Source: BMC (Part of Springer Nature) New publication from Dr. Vijaya Kolachalama and collaborators – see below for the abstract and to read more. Background Generative adversarial networks (GAN) can produce images of improved quality but their ability to augment image-based classification is not fully explored. We evaluated if a modified GAN can learn from […]

New Publication – Contextualized Protein-Protein Interactions

Source: Patterns Highlights We present PPI Context: contextualization of existing literature-curated PPIs A resource for filtering PPIs by cell-line information mined from reporting studies A fast and flexible pipeline implementing the presented data mining method The Bigger Picture Existing literature-curated protein-protein interaction (PPI) databases usually aggregate cell-type-agnostic interactions, yet PPIs are dependent on environmental conditions. […]

Largest-Ever Study of Prostate Cancer Genomics in Black Patients IDs Potential Targets for Precision Therapies

Source: BU School of Medicine Black men in the United States are known to suffer disproportionately from prostate cancer, but few studies have investigated whether genetic differences in prostate tumors could have anything to do with these health disparities. Now, in the largest study of its kind to date, researchers from BUSM, UC San Francisco […]