Deep learning using routine lab data showed promise in distinguishing candidemia from bacteremia but fell short of outperforming established biomarkers.

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

Sharan RV, Rahimi-Ardabili H. Detecting acute respiratory diseases in the pediatric population using cough sound features and Machine Learning: A Systematic Review. International Journal of ...

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

The team, led by UCSF cardiologist Rima Arnaout, MD, trained a group of machine-learning models to mimic the tasks that clinicians follow in diagnosing complex congenital heart disease (CHD).

As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife ...

Machine learning is known for its ability to spot fraudulent credit charges or recognize faces. Now researchers are siccing the technology on viruses. By Carl Zimmer Colin Carlson, a biologist at ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Mathur, Neha. (2022, December 15). Novel machine learning method detects animal coronaviruses that ...

New method improves measurement of animal behavior using deep learning. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 10 / 191001110820.htm ...