NIH Awards $3.1M Grant to Kayhan Batmanghelich for Pulmonary Biomarker Research

AI-driven approach integrates Multi-Modal Data and Biomechanics for Better Diagnosis and Tracking of Chronic Obstructive Pulmonary Disease (COPD)

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MechE Students Work With Alum to Bring AI-Driven Product to Market

What does it take to design an aesthetically sleek AI-driven product with mass market appeal? Three MechE MS students, Ben Wheeler (ENG ’25), Nick Teguis (ENG ’25), and Tage Colberg (ENG ’25) got into the depths of this question over the Spring 2025 term. Working with Alumni Samuel (ShengEr) Zhou (CAS & QST’ 22) and […]

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BU Launches an Open-Source Infectious Diseases Monitoring Tool Powered by AI and Human Experts

From measles, to influenza, to mpox, to malaria—infectious diseases outbreaks are happening all over the world, at nearly all times. For health professionals and public health officials, staying up-to-date with pathogens that are particularly dangerous—or have the potential to become a pandemic, like COVID-19 did—is vitally important to help keep us all safe. But accessing real-time information on outbreaks, as they pop up around the globe, isn’t always simple; currently, much of it is aggregated by hand.

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New AI/ML Awards, from Google to BU ECE

Three ECE faculty members were among the first recipients of Google’s inaugural Academic Research Awards (GARA) this fall, recognizing their groundbreaking work in AI and machine learning.

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Analog Neural Networks: Nature Communications Publishes ECE Researchers’ Blueprint for Precision

First author Cansu Demirkiran (ECE PhD’24) and advisor Professor Ajay Joshi discuss “fault-tolerant analog neural networks.”

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