New Frontiers in Self-driving Cars
Lidar, used in most self-driving cars, models the world around them by creating 3D representations of a scene in view. Photo by John D. SL/Shutterstock One of the most promising developments born out of the 2005 DARPA Grand Challenge was the use of lidar technology in self-driving cars, also known as autonomous vehicles (AVs). […]
Advancing COVID-19 Drug Development via Network Analysis
CISE Faculty Affiliate Mark Crovella (Prof., CS, Bioinformatics) has teamed up with Simon Kasif (Prof., BME, CS, Bioinformatics) and other CS researchers from across the U.S. to advance COVID-19 drug development via Network Analysis. The researchers are co-developing a machine learning methodology to analyze viral and human protein-protein interaction networks. Through this work, the researchers […]
Three Papers Detail New Computational Models to Predict Severe Illness from COVID-19
Data Science and AI Methods Offer Predictive Systems to Aid Healthcare Policy Management and Level-of-Care Requirements Data science and AI methods have evolved to become a powerful tool in developing strong predictive models to help improve our understanding and treatment of COVID-19. “Given ample data, and assuming that the future is not completely random (like […]
New COVID-19 research focuses on Latin America
Informing Policy, Resource Allocation and Workplace Adjustment Policies COVID-19 has taken the world by storm, placing significant pressures on healthcare systems. Particularly in countries with limited testing resources and capacity-constrained health care systems, it is essential to determine who is at most risk for developing COVID-19. Knowing who may or may not need medical attention, and […]
AI in Medicine Advances with BU-MIT Research Team
Researchers from Boston University and the Massachusetts Institute of Technology have pioneered an AI method that learns from existing data how to make specific recommendations (“prescriptions”) to optimize a certain outcome. Their research findings have been published in this month in PLOS ONE. The paper titled “Prescriptive Analytics for Reducing 30-day Hospital Readmissions after General Surgery” […]
A Bug’s-Eye View
Researchers develop a new camera inspired by insects’ compound eyes Even though we’ve developed the ability to shrink down cameras to fit on a phone, the underlying principle of the camera itself hasn’t really progressed. As a camera gets smaller, there’s a trade-off between field-of-view and image quality; the larger the field-of-view, the more distorted […]
Yazicigil on Track to Monitor the GI Tract
“This is an ingestible sensor that will track and record the inflammation of the GI tract in a continuous and minimally-invasive manner, and especially tailored toward an individualized response for each patient’s disease,” said Yazicigil. Yazicigil’s team in collaboration with MIT is currently developing a mm-scale ingestible micro-bio-electronic device by leveraging the natural advantages of […]
Advancing Smart Cities with the Internet of Cars
Quicker, Safer and Greener Intersections Intersections with Dynamic Traffic Control In road transport engineering, an intersection is defined as at-grade junction where two or more roads or streets meet or cross. Statistically, it has been evidenced that intersections present a major hurdle in traffic control as they account for the lion’s share of accidents and of […]
No, it’s Not Your Imagination, the Air in Boston is Cleaner
A massive reduction in rush hour traffic has reduced carbon and nitrogen emissions in Boston. Photo by Above Summit for Boston University Photography AIR POLLUTION & COVID-19 BU researchers say emissions went down almost instantly, amidst the coronavirus pandemic, after Governor Baker issued a statewide stay-at-home advisory Since last month, as daily commuters and city […]
BU Researchers Propose Method for Controlling COVID-19 through Cellphones
CISE faculty affiliate Ari Trachtenberg along with fellow Boston University Computer Science professors Mayank Varia, and Ran Canetti recently published a paper that proposes a method for using cellphones to track COVID-19, while protecting user privacy. The researchers write: “Successful containment of the Coronavirus pandemic rests on the ability to quickly and reliably identify those […]