News Archive

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As the role of artificial intelligence grows in medicine, one of the leading concerns is that algorithmic tools will perpetuate disparities in care...

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Prof. Regina Barzilay, faculty lead for artificial intelligence (AI) at MIT Jameel Clinic, describes how she first came to apply her expertise in...

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For Dr. Denis Lacombe, CEO of the European Organisation Research Treatment Cancer (EORTC) to fight cancer you need big data.

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Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2. The existential threat of Covid-19 has highlighted an acute...

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MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for DMD.

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The sensor technology could also be used to create clothing that detects a variety of pathogens and other threats.

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A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the...

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Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in...

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The great hope of artificial intelligence in breast cancer is that it can distinguish harmless lesions from those likely to become malignant.

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These Doctors Are Using AI to Screen for Breast Cancer

During the pandemic, thousands of women have skipped scans and check-ups. So physicians tapped an algorithm to predict those at the...

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The Massachusetts Miracle is alive and well. 

With the Moderna vaccine, Massachusetts is having a moment. Ours is a story not about one company and one vaccine, but...

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A leading AI researcher calls for standards to ensure equity

A top researcher at the Massachusetts Institute of Technology on Thursday said that artificial intelligence systems...

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AI Cures: data-driven clinical solutions for Covid-19

MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for...

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Anticipating heart failure with machine learning

Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.

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This technology is offering a new way to monitor sleep

MIT researchers have developed a wireless, private way to monitor a person’s sleep postures — whether snoozing on their back, stomach, or...

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Computational chemistry faces a coding crisis

In October last year, a team of natural product chemists discovered a glitch in a widely used piece of NMR software. Buried deep inside...

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The Race for a Cure

Artificial intelligence can speed up drug discovery, but collaboration is the key The current Covid-19 crisis highlights the need to rapidly...

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New rapid CRISPR-based test for SARS-CoV-2 detection

A new study reports the approval of a new CRISPR-based coronavirus test that is both sensitive and rapid and intended to help reduce the time...

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What 5 COVID-19 Models Say the Next Month Will Look Like

In the last few weeks, we’ve all become a little more familiar with epidemiological models. These calculations, which make...

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Coronavirus Traces Found in Massachusetts Wastewater

Researchers screening wastewater in Massachusetts for the novel coronavirus found more traces of the pathogen than expected given...

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Artificial intelligence yields new antibiotic

A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria...

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Powerful antibiotics discovered using AI

Machine learning spots molecules that work even against ‘untreatable’ strains of bacteria. A pioneering machine-learning approach...

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Job Opening: Full-time post-doctoral fellow at CCRG

The Computational Cardiovascular Research group is seeking a full-time post-doctoral fellow to join collaborative projects between...

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Can computers connect symptoms to diseases?

Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.

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Save the Date: MIT AIDM Conference 2020

Join us on February 27-28, 2020 for an interactive event blending lectures, panels, and posters. The potential of AI to revolutionize drug discovery... 

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In keeping with the goal of making the data-driven social sector a collective responsibility, we’ve invited a group of data science experts and talented...

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A visual analytics tool helps child welfare specialists understand machine learning predictions that can assist them in screening cases.

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MIT’s Building 19 might be an unassuming spot for the start of a medical revolution, but this is the home of the MIT Abdul Latif Jameel..

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An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.

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The tabletop diagnostic yields results in an hour and can be programmed to detect variants of the SARS-CoV-2 virus.

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Before the coronavirus pandemic, bioengineer Jim Collins and his team combined the power of AI with synthetic biology in an effort to...

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How are immune cells able to recognize and kill cells infected with SARS-CoV-2? How are immune cells able to recognize and kill cells...

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Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization...

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Researchers develop a system to identify drugs that might be repurposed to fight the coronavirus in elderly patients.

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AIs that read sentences are now catching mutations

NLP algorithms designed for words and sentences can also be used to interpret genetic changes in viruses—speeding up lab work to spot new...

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Slowing the spread

Capping gatherings at 10 people could significantly reduce COVID-19 infection rates. From the choir rehearsal in Washington to family...

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Algorithm reduces use of riskier antibiotics for UTIs

Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics...

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Machine learning uncovers potential new TB drugs

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases...

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MIT begins testing wastewater to detect COVID-19 on campus

The pilot project is designed to determine if wastewater testing can provide early signals about the spread of the virus.

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An automated HC system that understands when to step in

Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

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Can Radio-Frequency Signals Provide COVID-19 Surveillance?

A radio-frequency re-identification system developed at MIT CSAIL could help retirement homes and assisted-living facilities detect COVID-19...

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J-Clinic Joins RETHINK

RETHINK – a “think-and-do” tank at ETH Zurich is pleased to announce its newest partner, the Abdul Latif Jameel Clinic for Machine Learning...

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Jim Collins Receives Funding for AI Drug Discovery

The Audacious Project commitment will support the development of new classes of antibiotics to treat the world’s deadliest bacterial pathogens.

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A Graph Convolutional Neural Network Approach

In an age when bacterial infections are developing resistance to common antibiotics, the discovery of a new and potentially powerful antibiotic...

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Warmer Weather May Slow, but Not Halt, Coronavirus

Nature may help diminish the pandemic if aggressive measures to control the spread of infections continue, experts say. That doesn’t...

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AI discovers antibiotics to treat drug-resistant diseases

Machine learning uncovers potent new drug able to kill 35 powerful bacteria. Artificial intelligence has been used to discover new...

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Aided by ML, scientists find a novel antibiotic

Aided by machine learning, scientists find a novel antibiotic able to kill superbugs in mice. For decades, discovering novel antibiotics...

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IIT-D to work with MIT on assistive technology

An 8-member team of students from Massachusetts Institute of Technology (MIT) in the US led by their faculty Dr Kyle Keane visited...

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MIT School of Engineering and Takeda join to advance...

A key part of J-Clinic, the MIT-Takeda Program will create educational opportunities and support research to positively impact human health.

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Using A.I. to Transform Breast Cancer Care

Just as computers can predict your shopping habits, researchers are using them to map the medical history of cancer patients...

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WFAE’s series The Price We Pay analyzes why Americans spend excessively on health care while still getting lackluster results...

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Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.

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Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities...

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MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data...

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Dina Katabi and Aleksander Madry receive additional support to pursue their research and develop their careers.

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Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.

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Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.

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Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens. From swallowing pills to injecting insulin...

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Sanofi, MIT Jameel Clinic join to advance AI health research

The collaboration between the Jameel Clinic and pharma firm will harness artificial intelligence and machine learning in developing...

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Turning microbiome research into a force for health

A diverse group of researchers is working to turn new discoveries about the trillions of microbes in the body into treatments for a range of...

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3 Questions: Phillip Sharp on the discoveries that enabled...

Curiosity-driven basic science in the 1970s laid the groundwork for today’s leading vaccines against the novel coronavirus...

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Covid-19 “super-spreading” events play outsized role ...

Mathematical analysis suggests that preventing large gatherings could significantly reduce Covid-19 infection rates...

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Deep learning takes on synthetic biology

Many health DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate...

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Regina Barzilay wins $1M

AAAI Squirrel AI award

MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis. For more than 100 years Nobel Prizes...

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COVID-19 spurs wave of innovative diagnostics

Coronavirus is instigating new thinking in diagnostics, such as face masks that can detect viruses on a wearer’s breath or paper-based...

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MIT-Takeda program launches

Research projects will harness the power of artificial intelligence to positively impact human health. In February, researchers from MIT...

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What can your microwave tell you about your health?

An MIT system uses wireless signals to measure in-home appliance usage to better understand health tendencies. For many of us our...

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AI for Drug Design

Traditional drug development is slow and expensive. It often takes more than 10 years for a new medicine to come to market, and it can cost...

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CSAIL device lets doctors monitor COVID-19 patients

Even with the best protocols in place, treating COVID-19 patients is inherently dangerous for health professionals. But what if there...

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A Deep Learning Approach to Antibiotic Discovery

Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this...

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Powerful antibiotic discovered using ML

A powerful antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered using artificial intelligence.

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Machine Learning for Antibiotics

I know that I just spoke about new antibiotic discovery here the other day, but there’s a new paper worth highlighting that just came out...

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Benefits and Challenges of ML in Drug Development

Drug companies spend 10 to 15 years bringing a drug to market, often at a high cost. Machine learning could reduce the time and cost by finding...

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Rise of Robot Radiologists

Deep-learning algorithms are peering into MRIs and x-rays with unmatched vision, but who is to blame when they make a mistake?

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Report of the NCAB Working Group on DS Released

The report discusses the opportunities and recommendations for the National Cancer Institute in data science, big data, and...