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.

The technology solves proteins’ 3-D shapes in minutes, when traditional methods may take years.

This collection of articles from The Scientist explores some of the latest cancer research!

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.

More than 3,000 researchers have signed on to a petition that expresses concern over the agency’s 2021 application for the funding program, which emphasizes three areas of computational science and might further disadvantage underrepresented groups.

Researchers try unprecedented data sharing and cooperation to understand COVID-19—and develop a model for diseases beyond the coronavirus pandemic.

The open access publication will use AI to identify the most pressing manuscripts in need of peer review.

Machine learning has pegged existing drugs to repurpose for COVID-19 clinical trials.

The technology, tested out on patients with epilepsy who already had electrodes implanted in their brains, is currently limited to 30–50 sentences.

Federal agencies, academic institutions, and industrial partners are joining forces to combat COVID-19 using artificial intelligence.

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

New methods of visualizing tissue are presented at the Society for Neuroscience meeting.

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.

Not only can artificial intelligence revolutionize healthcare, it could help restore the doctor-patient relationship.

Eric Topol, founder and director of Scripps Research Translational Institute and Reading Frames author, discusses the future of the doctor-patient bond in an era of artificial intelligence–driven medicine.