Research

New AI Technology Integrates Multiple Data Types to Predict Cancer Outcomes

While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information to make decisions about patient care. A new study from researchers from the Mahmood Lab at Brigham and Women's Hospital reveals a proof-of-concept model that uses artificial intelligence (AI) to combine multiple types of data from different sources to predict patient outcomes for 14 different types of cancer.

Proteins and Natural Language: AI Enables the Design of Novel Proteins

Artificial intelligence (AI) has created new possibilities for designing tailor-made proteins to solve everything from medical to ecological problems. A research team at the University of Bayreuth led by Prof. Dr. Birte Höcker has now successfully applied a computer-based natural language processing model to protein research.

Using Smartphones could Help Improve Memory Skills

Using digital devices, such as smartphones, could help improve memory skills rather than causing people to become lazy or forgetful, finds a new study led by UCL researchers.

The research, published in Journal of Experimental Psychology: General, showed that digital devices help people to store and remember very important information.

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.

Research News

New AI Technology Integrates Multiple Data Types to Predict Cancer Outcomes

Proteins and Natural Language: AI Enables the Design of Novel Proteins

Using Smartphones could Help Improve Memory Skills

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

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