Research

Advancing Dynamic Brain Imaging with AI

MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie Mellon University introduces a novel, AI-based dynamic brain imaging technology which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.

MIT Engineers Develop Stickers that can See Inside the Body

Ultrasound imaging is a safe and noninvasive window into the body’s workings, providing clinicians with live images of a patient’s internal organs. To capture these images, trained technicians manipulate ultrasound wands and probes to direct sound waves into the body. These waves reflect back out to produce high-resolution images of a patient’s heart, lungs, and other deep organs.

Patient Deterioration Predictor could Surpass Limits of Traditional Vital Signs

An artificial intelligence-driven device that works to detect and predict hemodynamic instability may provide a more accurate picture of patient deterioration than traditional vital sign measurements, a Michigan Medicine study suggests.

Researchers captured data from over 5,000 adult patients at University of Michigan Health with the Analytic for Hemodynamic Instability.

AI Analyses Neuron Changes to Detect whether Drugs are Effective for Neurodegenerative Disease Patients

A research group from Nagoya University in Japan has developed an artificial intelligence (AI) for analyzing cell images that uses machine learning to predict the therapeutic effect of drugs. Called in silico FOCUS, this new technology may aid in the discovery of therapeutic agents for neurodegenerative disorders such as Kennedy disease.

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 cumbersome nature of these records hampers the process. Research has shown that even when a doctor has been trained to use an electronic health record (EHR), finding an answer to just one question can take, on average, more than eight minutes.

Virtual Reality App Trial Shown to Reduce Common Phobias

Results from a University of Otago, Christchurch trial suggest fresh hope for the estimated one-in-twelve people worldwide suffering from a fear of flying, needles, heights, spiders and dogs.

The trial, led by Associate Professor Cameron Lacey, from the Department of Psychological Medicine, studied phobia patients using a headset and a smartphone app treatment programme - a combination of Virtual Reality (VR) 360-degree video exposure therapy and cognitive behavioural therapy (CBT).

A Machine Learning Model to Predict Immunotherapy Response in Cancer Patients

Immunotherapy is a new cancer treatment that activates the body's immune system to fight against cancer cells without using chemotherapy or radiotherapy. It has fewer side effects than conventional anticancer drugs because it attacks only cancer cells using the body's immune system. In addition, because it uses the memory and adaptability of the immune system, patients who have benefited from its therapeutic effects experience sustained anticancer effects.

Research News

Advancing Dynamic Brain Imaging with AI

MIT Engineers Develop Stickers that can See Inside the Body

Patient Deterioration Predictor could Surpass Limits of Traditional Vital Signs

AI Analyses Neuron Changes to Detect whether Drugs are Effective for Neurodegenerative Disease Patients

Teaching AI to Ask Clinical Questions

Virtual Reality App Trial Shown to Reduce Common Phobias

A Machine Learning Model to Predict Immunotherapy Response in Cancer Patients

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