Health Care
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 […]
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 […]
Privacy-Preserving Cloud Computing using Homomorphic Encryption
In today’s data-driven world, a large amount of data is collected by billions of devices (cell phones, autonomous cars, handheld game consoles, etc.), and this data is then processed in the cloud. A common approach to maintain data privacy in the cloud is to keep the data in encrypted form, and we decrypt the data […]
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 […]
SHF: Small: Architecting the COSMOS:A Combined System of Optical Phase Change Memory and Optical Links
Today’s data-intensive applications that use graph processing, machine learning or privacy-preserving paradigms demand memory sizes on the order of hundreds of GigaBytes and bandwidths on the order of TeraBytes per second. To support the ever-growing memory needs of the applications, Dynamic Random Access Memory (DRAM) systems have evolved over the decades. However, DRAM will not […]
Paschalidis Shares Health Data Findings in DeLisi Lecture
CISE Director Professor Yannis Paschalidis (ECE, SE, BME, CDS) discussed data-driven reasoning—which he calls “the backbone of engineering systems”—and predictive health analytics as he delivered the Charles DeLisi Distinguished Lecture May 6 to an online audience of about 100 members of the Boston University community. The DeLisi Award and Lecture honors a senior faculty member […]
Gut Health Project Nets Professor Yazicigil Multi-Disciplinary Grant
CISE faculty affiliate Rabia Yazicigil (ECE) is leveraging her skill with hardware design and IoT security in a new direction, for the benefit of human health. Working in collaboration with Professor Tim Lu, of MIT’s EECS & Biological Engineering departments, Professor Yazicigil is developing a new miniaturized bio-electronic device which would make it possible to […]
Accessible autonomous vehicle system wins semifinalist position in DOT competition
As the promise of self-driving cars inches closer to reality for the general public, how do we ensure this technology is accessible to people who are blind or visually impaired? That’s the question that ECE Assistant Professor Eshed Ohn-Bar and his team seek to answer with their OpenGuide project. The project has been selected as a semifinalist […]
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 […]