This research uses deep learning techniques to create a highly accurate model for identifying audio recordings, with an emphasis on female speakers and their mental health difficulties. Based on ...

<p>X sued New York to challenge a state law which requires social media companies to submit semi-annual reports to the attorney general.</p> ...

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

The NurOwn clinical program has generated valuable insights into ALS disease biology, including pharmacogenomic response associated with the UNC13A genotype, biomarker data collected at seven ...

"These survival data provide encouraging real-world insights into the long-term experience of ALS patients treated with NurOwn under expanded access," said Chaim Lebovits, President and CEO of ...

The NurOwn clinical program has generated valuable insights into ALS disease biology, including pharmacogenomic response associated with the UNC13A genotype, biomarker data collected at seven ...

The Trump administration's proposed cuts to the National Institutes of Health would be devastating to the efforts to find a cure for the deadly disease.

In this study, we aim to systematically investigate the design and optimization of machine learning pipelines for analyzing multimodal neuroimaging data from a small cohort of ALS patients.

Allowing people with disabilities to talk by just thinking about a word, that's what UC Davis researchers hope to accomplish with new cutting-edge technology.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.