One-shot’ approach that uses machine learning to screen immune cells could help to detect conditions with overlapping ...

World Health Organization (WHO) provides medicines, supplies, and equipment for maternal, newborn, and mental healthcare in Liberia ...

It provides a comprehensive overview of the entire EEG analysis pipeline, from acquisition to statistical and machine learning techniques for PTSD diagnosis. Methods: Using the PRISMA-ScR protocol, ...

and a support vector machine (SVM) (Luo et al., 2018a,b). The ERS/ERD phenomenon from EEG signals is common on three motor-related datasets, and such phenomena are usually used for the motor-based BCI ...

UC Riverside researchers have demonstrated a new, unsupervised machine learning approach to find new patterns in the auxiliary channel data of the Laser Interferometer Gravitational-Wave Observatory.

In an information memorandum for potential bidders, the Victorian startup outlines its plans to relaunch into the US market with its next generation at-home video EEG monitoring device for epilepsy ...

SHAP offers a transparent way to interpret machine learning models by breaking down how individual radiomics features contribute to diagnostic predictions. This research is the first to apply such an ...

Doctors could soon reduce epilepsy misdiagnoses by up to 70% using a new tool that turns routine electroencephalogram, or EEG, tests that ... "We can get to the right diagnosis three times faster ...

Standing for live visualization of brain circuits, LVIS Corp launched the cloud-based Neuromatch Access platform as a software as a service to help neurologists and medical professionals review, ...