Could a Computer Diagnose Alzheimer’s Disease and Dementia?
It takes a lot of time—and money—to diagnose Alzheimer’s disease. After running lengthy in-person neuropsychological exams, clinicians have to transcribe, review, and analyze every response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning–powered computational model can […]
New Technology Could Predict When Someone’s Mobility is Declining
CISE Faculty Affiliate Roberto Tron uses Visual-Inertial Filtering for Clinically-Relevant Human Walking Quantification As we age, the likelihood of falling and getting injured increases. But what if we could prevent these accidents from happening? CISE faculty affiliate Roberto Tron is working on preventing injuries by monitoring mobility through cameras, sensors, machine learning, and estimation algorithms […]
Professor Tian’s Paper on Adaptive 3D Descattering is the Cover Feature in Nature’s Light: Science & Applications
CISE faculty affiliate Lei Tian (ECE, BME) has published a paper entitled Adaptive 3D descattering with a dynamic synthesis network that was featured on the cover of Nature’s Light: Science & Applications. Tian’s paper focused on training a descattering network for image recovery in scattering media using an adaptive learning framework, termed dynamic synthesis network (DSN). The framework […]
Novel Miniature Computational Imaging System to Advance Brain Imaging Technology
The ability to study and learn about the brain hinges on what technology is available. CISE faculty affiliate, Lei Tian (ECE, BME) is leading the development of a novel miniature computational imaging system to advance brain imaging technology. Tian (ECE, BME), was awarded a $2 million grant from the National Institutes of Health to advance […]
Mark Crovella: Mapping the Internet in a New Age of Privacy
You can’t see it, but when you enter something in the search bar, there is a whole network of connections that happens. We typically don’t think about the internet having a map, but CISE faculty affiliate Mark Crovella, a founding member and faculty of Computing & Data Sciences, likened his work to figuring out what […]
Pregnancy Models Give Birth to New Health Insights
Having a baby is a life-changing decision that often requires a great deal of time and energy to ensure a positive outcome. But the cost of assisted reproductive technologies like artificial insemination or in-vitro fertilization (IVF) and the emotional impacts of infertility can be a lot to bear. To try to improve the chances of […]
Machine learning reveals new factor for predicting a stroke survivor’s ability to regain language skills
Despite centuries of study, the human brain remains one of science’s greatest mysteries. Most research focuses on how the brain responds to change, but researchers are beginning to shift from studying the effect of the brain injury to recovery and healing. Neuroscientists and computer scientists at Boston University (BU) teamed up to create a method […]
Faculty Spotlight: Alex Olshevsky
Easing the Economic Strain of COVID-19 Lockdowns At the start of the pandemic, CISE Faculty Affiliate Alex Olshevsky (ECE) started developing models to find the best way to lockdown regions to control the spread of the virus. He had previously been working on multi-agent control, which he described as “a collection of robots that want […]
Cars that learn how to drive themselves by watching other cars
Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far less compiled driving data. That idea is pushing Boston […]
How Computational Imaging is Helping to Advance In-Vivo Studies of Brain Function
New BU-developed wearable device integrates miniature optics and computational algorithms to enable cortex-wide, cellular resolution imaging of the brain in freely moving animals The ability to study and learn about the brain hinges on what technology is available. Current wearable brain imaging technologies are limited by a small field of view. An interdisciplinary team at […]