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MIT PhD students Tiffany Yau (left) and Teya Bergamaschi are two of the co-first authors behind a new paper introducing a deep learning model that can predict which patients with heart failure are at risk of having their condition worsen up to a year in advance (Credits: Alex Ouyang/MIT Jameel Clinic).
CSAIL article

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced by barber surgeons in Europe, during a time when physicians rarely operated on patients. 

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Senior Mohammed Ihtisham (second from right) explains Project Reflecto to MIT professor of computer science Arvind Satyanarayan (left), as junior Nayeemur Rahman (second from left) and senior Alqasem Senegali look on (Credits: Ken Richardson).
CSAIL article

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to be a social guide rather than an addictive escape?

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CSAIL article

Imagine a world where you could change the designs you see on bags, shirts, and walls whenever you want. Typical clothes would become customizable fashion pieces, while your humble abode could turn into a smart home. That’s the vision of scientists like MIT PhD student Yunyi Zhu ’20, MEng ’21: technology that can “reprogram” the appearance of personal accessories, home decor, and office items.