Tag: Medicine

Why Everyone Should Learn a Bit of Signal Processing

If you’ve ever adjusted an Instagram filter, used noise cancellation on a plane, or asked Siri to play Taylor Swift, then you’ve used signal processing—the mathematical art of massaging, analyzing, and extracting meaning from data that changes over time. It’s behind your music, your fitness tracker, your MRI scan, and maybe even your job application. And while it might sound like an electrical engineer’s pet topic, signal processing is actually a foundational—and surprisingly flexible—tool across tech, science, and modern careers.

So if you’re a student wondering what to do with that Fourier Transform assignment, or why your professor keeps talking about “filtering out noise,” read on. Signal processing isn’t just useful—it’s everywhere.

August 22, 2025 0

When AI Runs Dry: The Challenge of Training Models on Sparse Medical & Biomechanical Data

We all love the idea of AI diagnosing diseases from a single MRI scan or powering exoskeletons that move as naturally as we do. But guess what? These applications often falter because there’s simply not enough data—or the data is imbalanced, messy, and hard to collect. In medicine and biomechanics, training robust AI models is more like playing chess blindfolded: with limited pieces, incomplete vision, and a big risk of making the wrong moves.

July 9, 2025 0
Biomechanics Research

When AI Says “Maybe”: The Quest for Meaningful Uncertainty in Machine Learning

In the realm of artificial intelligence (AI), particularly within machine learning (ML), the ability to quantify uncertainty is paramount. As AI systems increasingly influence critical decisions in fields like healthcare, engineering, and finance, understanding the confidence of these systems becomes essential. Yet, translating the abstract probabilities of AI models into actionable insights remains a significant challenge.

June 25, 2025 0

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