Biomedicine
BU-Harvard Team Wins $1.2M NSF Grant to Improve Women’s Reproductive Health using AI and Machine Learning
A multidisciplinary team of researchers from Boston University and Harvard University is working to address women’s reproductive health challenges with the help of a $1.2M, four-year grant funded by the National Science Foundation (NSF) through its Smart and Connected Health (SCH) program. The BU-led project will leverage machine learning and artificial intelligence to develop an […]
Optimizing and Learning Strategies for Protein Docking
Protein docking is defined as predicting the three-dimensional structure of the docked complex based on knowledge of the structure of the components. Experimental techniques for this purpose are often expensive, time-consuming, and in some cases, not feasible; hence the need for computational docking methods. The problem of finding the docked conformation is generally formulated as […]
CISE Faculty Affiliate Lei Tian Wins NSF CAREER Award
CISE Faculty Affiliate Professor Lei Tian (ECE, BME) received a prestigious Faculty Early Career Development (CAREER) Program Award from the National Science Foundation (NSF) for his work on Optical Intensity Diffraction Tomography with Multiple Scattering. Professor Tian’s research involves the development of novel optical imaging devices that overcome barriers to studying biological samples and phenomena. This project focuses on […]
CIF: Small: Collaborative Research: Signal Processing for Nonlinear Diffractive Imaging: Acquisition, Reconstruction, and Applications
There is a growing need in biomedical research to observe biological structure and processes on the length scales smaller than 100nm. Conventional optical systems cannot effectively provide such information, however, due to the infamous diffraction limit. The formulation of the diffraction limit fundamentally relies on the presumed linearity in the interaction between the illuminating light […]
CAREER: Algorithms and Fundamental Limitations for Sparse Control
The proposal is to study the design of feedback control strategies which stabilize and steer systems by affecting them in only a few variables. The motivation comes from applications which are either large-scale or geographically distributed and therefore cannot be feasibly affected in many places. A primary motivating application is the control of metabolic chemical […]
AF: Small: Manifold optimization algorithms for protein-protein docking
Proteins are the major building blocks of the cell. Many proteins perform their function by interacting with other proteins. In a typical cell hundreds of thousands of different protein interactions take place. Characterizing these interactions helps elucidate how living organisms function at the molecular level, contributes towards the development of treatments against diseases such as […]
ABI Development: Utilization of Diverse Data in Exploring Protein-Protein Interactions
Each living cell is packed with proteins that continuously interact with each other in response to envirtonmental and other signals to control the cell’s growth and eventual fate. The analysis of such interactions is crucial for understanding signal transduction pathways that drive cell differentian during development and throughout the life an an organism. These pathways […]
CPS: FRONTIER: COLLABORATIVE RESEARCH: BIOCPS FOR ENGINEERING LIVING CELLS
Recent developments in nanotechnology and synthetic biology have enabled a new direction in biological engineering: synthesis of collective behaviors and spatio-temporal patterns in multi-cellular bacterial and mammalian systems. This will have a dramatic impact in such areas as amorphous computing, nano-fabrication, and, in particular, tissue engineering, where patterns can be used to differentiate stem cells […]
Interdisciplinary Team Sheds Light on How Proteins Bind
Finding Could Open Up New Drug Discovery Opportunities Over the past six years, an interdisciplinary team of College of Engineering faculty members—Professor Sandor Vajda (BME, SE), Research Assistant Professor Dima Kozakov (BME), Professor Yannis Paschalidis (ECE, SE) and Associate Professor Pirooz Vakili (ME, SE)—have been developing a set of powerful optimization algorithms for predicting the structures of complexes that form when […]
2012 IEEE International Symposium on Biomedical Imaging Travel Support Barcelona, Spain
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) is a forum that has traditionally focused on the computational and modeling aspects of biomedical imaging. It emphasizes methodologies that have the potential to be applicable to multiple imaging modalities and to imaging at different scales. Topics include physical, biological and statistical modeling […]