Using artificial intelligence to determine whether immunotherapy is working

2019-11-23

Currently, only about 20% of all cancer patients will actually benefit from costly immunotherapy. New research can now determine which ones are in that category, simply by analyzing previously unseen changes in patterns in CT scans taken when the lung cancer is first diagnosed compared to scans taken after the first 2-3 cycles of immunotherapy treatment.

Artificial intelligence predicts treatment outcome for diabetes-related vision loss

2020-02-04

A new approach that uses artificial intelligence to analyze retinal images could one day help doctors select the best treatment for patients with vision loss from diabetic macular edema. This diabetes complication is a major cause of vision loss among working-age adults.

Man versus machine: Can AI do science?

2020-01-23

Scientists have shown that machines can beat theoretical physicists at their own game, solving complex problems just as accurately as scientists, but considerably faster.

Using deep learning to predict disease-associated mutations

2020-01-02

A research team implemented a robust deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein. This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

Brain-like functions emerging in a metallic nanowire network

2019-12-27

An international joint research team succeeded in fabricating a neuromorphic network composed of numerous metallic nanowires. Using this network, the team was able to generate electrical characteristics similar to those associated with higher-order brain functions unique to humans, such as memorization, learning, forgetting, becoming alert and returning to calm. The team then clarified the mechanisms that induced these electrical characteristics.

Robots made from self-folding kirigami materials

2019-12-18

Researchers have demonstrated how kirigami-inspired techniques allow them to design thin sheets of material that automatically reconfigure into new two-dimensional (2D) shapes and three-dimensional (3D) structures in response to environmental stimuli. The researchers created a variety of robotic devices as proof of concept for the approach.

Machine learning helps scientists measure important inflammation process

2019-12-09

Inflammation is a hallmark of many health conditions, but quantifying how the underlying biology of inflammation contributes to specific diseases has been difficult. For the first time, researchers now report the development of a new technology to identify white blood cells called neutrophils that are primed to eject inflammatory DNA into the circulation via a process called Netosis.

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Using artificial intelligence to determine whether immunotherapy is working

Artificial intelligence predicts treatment outcome for diabetes-related vision loss

Man versus machine: Can AI do science?

Using deep learning to predict disease-associated mutations

Brain-like functions emerging in a metallic nanowire network

Robots made from self-folding kirigami materials

Machine learning helps scientists measure important inflammation process

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Using artificial intelligence to determine whether immunotherapy is working

Artificial intelligence predicts treatment outcome for diabetes-related vision loss

Man versus machine: Can AI do science?

Using deep learning to predict disease-associated mutations

Brain-like functions emerging in a metallic nanowire network

Robots made from self-folding kirigami materials

Machine learning helps scientists measure important inflammation process