Tag: Institute for Medical Engineering and Science (IMES)

Artificial intelligence predicts patients’ race from their medical images

The miseducation of algorithms is a critical problem; when artificial intelligence mirrors unconscious thoughts, racism, and biases of the humans who generated these algorithms, it can lead to serious harm. Computer programs, for example, have wrongly flagged Black defendants as twice as likely to reoffend as someone who’s white. When an AI used cost as […]

Read More

3 Questions: Daniel Anderson on the progress of mRNA vaccines

Two mRNA vaccines, which received emergency authorization in late 2020, have proven critical in the fight against Covid-19. These vaccines, the first of their kind, were the culmination of decades of research on RNA. Delivered as strands of mRNA that encode a viral protein, the vaccines enter cells and begin producing proteins, allowing the immune […]

Read More

A single memory is stored across many connected brain regions

A new study by scientists at The Picower Institute for Learning and Memory at MIT provides the most comprehensive and rigorous evidence yet that the mammalian brain stores a single memory across a widely distributed, functionally connected complex spanning many brain regions, rather than in just one or even a few places. Memory pioneer Richard […]

Read More

School of Engineering first quarter 2022 awards

Members of the MIT engineering faculty receive many awards in recognition of their scholarship, service, and overall excellence. The School of Engineering periodically recognizes their achievements by highlighting the honors, prizes, and medals won by faculty working in our academic departments, labs, and centers. Saman Amarasinghe of the Department of Electrical Engineering and Computer Science […]

Read More

Aging Brain Initiative awards fund five new ideas to study, fight neurodegeneration

Neurodegenerative diseases are defined by an increasingly widespread and debilitating death of nervous system cells, but they also share other grim characteristics: Their cause is rarely discernible and they have all eluded cures. To spur fresh, promising approaches and to encourage new experts and expertise to join the field, MIT’s Aging Brain Initiative (ABI) this […]

Read More

Structures considered key to gene expression are surprisingly fleeting

In human chromosomes, DNA is coated by proteins to form an exceedingly long beaded string. This “string” is folded into numerous loops, which are believed to help cells control gene expression and facilitate DNA repair, among other functions. A new study from MIT suggests that these loops are very dynamic and shorter-lived than previously thought. […]

Read More

MIT.nano Immersion Lab Gaming Program awards third annual seed grants

MIT.nano has announced its next round of seed grants to support hardware and software research related to sensors, 3D/4D interaction and analysis, augmented and virtual reality (AR/VR), and gaming. The grants are awarded through the MIT.nano Immersion Lab Gaming Program, a four-year collaboration between MIT.nano and NCSOFT, a digital entertainment company and founding member of […]

Read More

Emery Brown earns American Institute for Medical and Biological Engineering Pierre Galletti Award

The American Institute for Medical and Biological Engineering has awarded its highest honor this year to Emery N. Brown, the Edward Hood Taplin Professor of Computational Neuroscience and Health Sciences and Technology in The Picower Institute for Learning and Memory and the Institute for Medical Engineering and Science at MIT. Brown, who is also an […]

Read More

Study reveals the dynamics of human milk production

For the first time, MIT researchers have performed a large-scale, high-resolution study of the cells in breast milk, allowing them to track how these cells change over time in nursing mothers. By analyzing human breast milk produced between three days and nearly two years after childbirth, the researchers were able to identify a variety of […]

Read More

Deep-learning technique predicts clinical treatment outcomes

When it comes to treatment strategies for critically ill patients, clinicians want to be able to consider all their options and timing of administration, and make the optimal decision for their patients. While clinician experience and study has helped them to be successful in this effort, not all patients are the same, and treatment decisions […]

Read More

Research advances technology of AI assistance for anesthesiologists

A new study by researchers at MIT and Massachusetts General Hospital (MGH) suggests the day may be approaching when advanced artificial intelligence systems could assist anesthesiologists in the operating room. In a special edition of Artificial Intelligence in Medicine, the team of neuroscientists, engineers, and physicians demonstrated a machine learning algorithm for continuously automating dosing […]

Read More

Professor Emery Brown has big plans for anesthesiology

Emery N. Brown — the Edward Hood Taplin Professor of Medical Engineering and of Computational Neuroscience at MIT, an MIT professor of health sciences and technology, an investigator with The Picower Institute for Learning and Memory at MIT, and the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School and Massachusetts General Hospital (MGH) […]

Read More

The downside of machine learning in health care

While working toward her dissertation in computer science at MIT, Marzyeh Ghassemi wrote several papers on how machine-learning techniques from artificial intelligence could be applied to clinical data in order to predict patient outcomes. “It wasn’t until the end of my PhD work that one of my committee members asked: ‘Did you ever check to […]

Read More

When should someone trust an AI assistant’s predictions?

In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the AI system can help her make faster diagnoses, but how does she know when to trust the AI’s predictions? She doesn’t. Instead, she may rely on her expertise, a confidence […]

Read More