Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...
Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...
Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.
A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and ...
Google's push into artificial intelligence keeps on growing, and 2025 brought a notable entry in the Data Science Agent. Introduced as part of Google's overall ...
We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results