News Archive

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A new algorithm could spot Parkinson’s early. Will it help?

Researchers in the United States have developed an artificial intelligence system that could detect Parkinson’s disease in patients...

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See How This AI Analyzes Breathing Patterns For Early Detection Of Parkinson’s

Dina Katabi is a principal investigator with the MIT Jameel Clinic. Katabi published a new study that looks at using artificial intelligence (AI) to...

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Artificial intelligence model can detect Parkinson’s from breathing patterns

Researchers have developed an artificial intelligence (AI) model that detects the presence and severity of Parkinson’s disease (PD) using...

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How limitations in AI, wearables, impact depression research

Artificial intelligence (AI) and wearables have seen an uptick in interest from the healthcare sector in recent years. With the rise in...

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Adam Yala, Regina Barzilay nominated as 2022 Falling Walls Life Sciences Finalists

Some of the most important researchers and thinkers of our time gather at Falling Walls to discuss breakthroughs with global leaders...

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Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher & beloved colleague

Octavian-Eugen Ganea, a gifted postdoctoral artificial intelligence researcher at the Abdul Latif Jameel Clinic for Machine Learning in Health...

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Quantum + AI = Future

For a long time we wanted to make a program about the future of  computing and the digital world.  We are not referring to the new...

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These tiny organisms are key to stopping the next pandemic   

When a respiratory virus sweeps away almost 15 million lives in two years, as Covid-19 has, according to a May 5 World Health Organization estimate...

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Undetectable backdoors plantable in any machine learning algorithm

Undetectable backdoors can be planted into any machine-learning algorithm, allowing a cybercriminal to gain unfettered access and to...

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The FDA wrestles with its approach to AI in medicine

It was a brave thing for the Food and Drug Administration to do. Earlier this week, the agency put one of its regulatory officers in front of a room...

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See how AI can predict future cancer risk

CNN's Elizabeth Cohen looks at how artificial intelligence could help identify and predict if patients will get cancer in the future.

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Injecting fairness into machine-learning models

If a machine-learning model is trained using an unbalanced dataset, such as one that contains far more images of people with lighter skin than people...

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Regina Barzilay Selected for the 2022 STATUS List

There’s never been a better time to recognize standout individuals in health, medicine, and science. And although there are countless....

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How Muriel Medard Pioneered the Universal Decoder

Network coding pioneer Muriel Médard calls herself a pathological optimist. The MIT electrical engineering and computer science...

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Personalized cancer screening with artificial intelligence

Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable...

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Is artificial intelligence about to transform the mammogram?

An MIT researcher who survived breast cancer has devised a technique that seems to predict many breast cancer cases

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New Advisory Council Joins The Epiverse

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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A new algorithm could spot Parkinson’s early. Will it help?

Researchers in the United States have developed an artificial intelligence system that could detect Parkinson’s disease in patients...

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New Study Highlights Opportunities for Artificial Emotional Intelligence

How will artificial intelligence (AI) impact the future of the mental health industry? One pioneering group at the Massachusetts...

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In early research, an AI model detects signs of Parkinson’s using breathing patterns

James Parkinson first flagged a link between changes in breathing patterns and the debilitating disease that now bears his name. But since...

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‘It’s not going to work’: Keeping race out of machine learning isn’t enough to avoid bias

As more machine learning tools reach patients, developers are starting to get smart about the potential for bias to seep in. But a growing body of...

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Teaching AI to ask clinical questions

Physicians often query a patient’s electronic health record for information that helps them make treatment decisions, but the...

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Salud y Bienestar: Regina Barzilay

En 2017, el científico del MIT Max Tegmark publicó Vida 3.0, un libro en el que reconocía las posiblidades de la inteligencia artificial para mejorar...

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New model helps identify mutations that drive cancer

Cancer cells can have thousands of mutations in their DNA. However, only a handful of those actually drive the progression of cancer; the rest...

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Can artificial intelligence overcome the challenges of the health care system?

MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.

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These fast, cheap tests could help us coexist with covid

Thanks to groundbreaking work on infectious agents and diseases already under way before the pandemic began, MIT researchers...

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Affective Computing Could Change the Future

Right now, being angry at your computer does nothing, but what if your software could take your mood into account? Affective computing...

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What’s wrong with

“explainable A.I.”

A.I. has an explainability crisis. But it’s not the one you probably think. For a long time, the problem seemed to be that A.I. algorithms, especially...

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AI gone astray: How subtle shifts in patient data...

A novel investigation by STAT and the Massachusetts Institute of Technology found that subtle shifts in data fed into popular health care...

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New tool predicts cell fates and genetic perturbations

Imagine a ball thrown in the air: It curves up, then down, tracing an arc to a point on the ground some distance away. The path of the ball...

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AI system rapidly predicts how two proteins will attach

The machine-learning model could help scientists speed the development of new medicines.  Antibodies, small proteins produced...

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When should someone trust an AI assistant’s predictions?

Researchers have created a method to help workers collaborate with artificial intelligence systems. In a busy hospital, a radiologist is using...

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Taking some of the guesswork out of drug discovery

A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.

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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...

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A new algorithm could spot Parkinson’s early. Will it help?

Researchers in the United States have developed an artificial intelligence system that could detect Parkinson’s disease in patients...

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MIT device senses breathing patterns to spot Parkinson’s disease

Researchers at the Massachusetts Institute of Technology say they’ve created a new tool for diagnosing Parkinson’s disease — an artificial...

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Artificial intelligence model can detect Parkinson’s from breathing patterns

Parkinson’s disease is notoriously difficult to diagnose as it relies primarily on the appearance of motor symptoms such as tremors...

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Explained: How to tell if artificial intelligence is working the way we want it to

About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion...

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Artificial intelligence model finds potential drug molecules a thousand times faster

The entirety of the known universe is teeming with an infinite number of molecules. But what fraction of these molecules have potential drug-like...

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Rewriting what we thought was possible in biotech

Have you heard? The tech in biotech is nailing it. Machine learning (ML) and artificial intelligence (AI) can now figure out who has a condition...

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In bias we trust?

When the stakes are high, machine-learning models are sometimes used to aid human decision-makers. For instance, a model could predict...

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AI can recognize race from X-rays: But Harvard-MIT team doesn't know how

A doctor can't tell if somebody is Black, Asian, or white, just by looking at their X-rays. But a computer can, according to a surprising new paper...

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Seven from MIT elected to American Academy of Arts and Sciences for 2022

Seven MIT faculty members are among more than 250 leaders from academia, the arts, industry, public policy, and research elected to the...

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A smarter way to develop new drugs 

Pharmaceutical companies are using artificial intelligence to streamline the process of discovering new medicines. Machine-learning...

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Kiran Mazumdar-Shaw Elected as the Fellow of RSE

Jameel Clinic PI Kiran Mazumdar-Shaw, Executive Chairperson of Biocon and Biocon Biologics, has been elected as the Fellow of the...

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Chemical synthesis yields potential antibiotic

A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.

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The downside of machine learning in health care

Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence...

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Deploying machine learning to improve mental health

MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery. A machine-learning expert and a...

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Health and Fitness Trackers Are About to Get More Granular

The Future of Everything covers the innovation and technology transforming the way we live, work and play, with monthly issues...

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A path forward for trusted AI in breast cancer risk prediction

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...