While machine learning could improve detection of tumors at their earliest stages, it also risks identifying malignancies that would never cause the patient any harm.

Good girl, Florin!

In a proof-of-concept study, researchers used dogs’ diagnoses of prostate cancer to inform a machine learning algorithm with the goal of one day detecting cancers with canine-level accuracy.

Some researchers have turned their focus to artificial intelligence to study an underused symptom common to most respiratory pathogens—cough.

A small study shows artificial intelligence can pick out individuals with coronavirus infections, but ophthalmologists and AI experts say the approach is far from proven to be capable of distinguishing infections with SARS-CoV-2 from other ills.

The company had helped develop a tool to aid decision-making in distributing limited medical equipment among coronavirus patients, but two high-profile retractions call into question the validity of Surgisphere’s work in toto.

The University of Pittsburgh scientist, who was studying SARS-CoV-2, was shot to death in his home.

A combination of videography, machine learning, and brain imaging has identified facial expressions and neural activity patterns in mice that are associated with their emotions.

Researchers used a machine-learning platform to test more than 100 million molecules for antibacterial activity.

From artificial intelligence to pluripotent stem cells, this year saw the publication of a bevy of intriguing new methods, as well as tweaks to existing protocols.

A deep neural network can help determine how likely cancer cells are to metastasize.

Scientists used machine learning to analyze the coevolution of physical traits in butterflies.

The proof-of-concept study could be a step toward better assisted communication devices for paralyzed people.

Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.

An artificial intelligence program called a neural network exceeds radiologists’ ability to detect malignancies, but more testing is needed before using the program clinically.

Neural networks generate abstract images designed to activate particular cells, lending insight into their function.

Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

Machine learning could be the key to reducing the use of animals in experiments.

Researchers are using artificial intelligence to pick out the features of brightfield microscopy images.