Recent News
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 Medicine in the Section of Computational Biomedicine. See below for a brief summary and click the link to read the whole article. Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease... More
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... More
Thesis Defenses – Zhe Wang and Ke Xu
Congratulations to CBM PhD candidates Zhe Wang and Ke Xu, who both passed their thesis defenses on Thursday, April 8. Zhe Wang, of the Campbell lab, defended his thesis entitled“Enhancing Preprocessing and Clustering of Single-Cell RNA Sequencing Data” and Ke Xu, of the Spira/Lenburg lab, defended his thesis entitled “Airway... More
Job Opportunity – Postdoctoral Associate
We are looking for a postdoctoral associate to develop methods to analyze NGS data including single-cell RNA sequencing and CITE-seq, whole exome/genome DNA sequencing, and bulk RNA sequencing in projects related to the genomic characterization of lung premalignant lesions in the “Pre-Cancer Genome Atlas” consortium funded by Human Tumor... More
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... More
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... More
Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans
Source: Aging Cell New publication from Dr. Stefano Monti, Associate Professor of Medicine, in collaboration with Dr. Thomas Perls and Dr. Paola Sebastiani of the New England Centenarian Study. See below for a brief summary and click the link to read more. Using samples from the New England Centenarian Study (NECS), we... More
2021 Toffler Scholars in Neuroscience
Source: Boston University School of Medicine Office of the Dean Vijaya Kolachalama, PhD, Assistant Professor of Medicine (Computational Biomedicine) and Computer Science, and founding member of the faculty of BU Computing & Data Sciences; Shangran Qiu, BA, BU CAS; Prajakta Joshi, BDS, MPH, GSDM; Chonghua Xue, BA, Medicine (Computational Biomedicine); and... More
Lung Cancer Research Foundation Research Grant on Disparities in Lung Cancer Awarded to Dr. Joshua Campbell
Dr. Joshua Campbell, Assistant Professor of Medicine in the Section of Computational Biomedicine, received a Lung Cancer Research Foundation (LCRF) Disparities Award in collaboration with Dr. Umit Tapan, Assistant Professor of Medicine in the Section of Hematology & Medical Oncology. Click here to read more about their research project.
Boston University researchers to develop new breast tumor models
Source: Eurekalert Breast cancer is the second most common cancer diagnosed in women in the United States after skin cancer, and women with comorbidities (the presence of more than one condition/disease) often fare worse in terms of their breast cancer. Researchers believe that comorbid conditions such as diabetes, obesity and metabolic... More