Moorman-Simon Fellowship 2022-2023
The Moorman-Simon Fellowship in Computational Biomedicine was established in the summer of 2019 to provide fellowships to current Ph.D. students in Computational Biomedicine who are working in the field of cancer research. This fund was established through a generous gift by Trustee Ruth A. Moorman (CAS’88, Wheelock’89,’09, Parent BUA’15) and Sheldon N. Simon. Congratulations to […]
Two Technologies That Can Make Diagnosing Dementia Easier for Doctors and Patients
(Source: The Brink) Dr. Vijaya Kolachalama, Associate Professor of Medicine and CBM faculty member, was quoted in the Brink article “Two Technologies That Can Make Diagnosing Dementia Easier for Doctors and Patients.” The article also featured more information about a deep learning algorithm he and his team developed. See below for a an article preview […]
New Publication from Campbell Lab
(source: Nature Communications) The Campbell lab, led by its Bioinformatics students, has just been published for SCTK-QC, a pipeline for comprehensive QC of single-cell RNA-seq data. This pipeline will help with reprocessing and QC efforts in consortiums. Click here to read the full publication.
Identifying New Biomarkers to Detect Lung Cancer Earlier
Source: NIH National Cancer Institute, Division of Cancer Prevention Lung cancer, the leading cause of cancer deaths worldwide killing 1.8 million people each year, is often diagnosed at an advanced stage when the chances for a cure are limited. In the United States, almost 60% of people diagnosed with localized lung and bronchus cancer are […]
Thesis Defense – Xiao Zhou
Congratulations to CBM PhD candidate Xiao Zhou, who passed his thesis defense, “Competitive deep learning for imaging applications,” on Wednesday, December 1. Xiao is a member of Kolachalama lab and defended in person on the Charles River campus.
Thesis Defense – Anthony Federico
Congratulations to CBM PhD candidate Anthony Federico, who passed his thesis defense, “Development of Methods for Omics Network Inference and Analysis and Their Application to Disease Modeling,” on Thursday, November 18. Anthony is a member of Monti lab and defended both virtually and in person on Evans 6.
Dr. Vijaya Kolachalama awarded Evans Junior Faculty Merit Award
Congratulations to Vijaya Kolachalama, PhD, Assistant Professor of Medicine in the Section of Computational Biomedicine, who was awarded the Evans Junior Faculty Research Merit Award for 2021-2023. This award recognizes outstanding junior faculty investigators in the Department of Medicine. Click here to learn more about this award.
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 […]
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 be making you fat, according to Boston University Schools of Medicine and Public Health researchers. A growing number of environmental pollutants (organotins in pesticides, phthalates in plastics, flame retardants in furniture) activate fat-forming pathways and enhance weight gain through white-fat […]
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 […]