CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.

The study’s econometric results show a striking boost to company performance. Using fixed-effects difference-in-differences, the authors estimate that around 42.8 percent of turnover in AI-adopting ...

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...

Lisa Jäckel, Jonas Baumann, Carole Baumann, Jennifer Herrmann, and Mario Fritz: Automated Detection of Abnormalities in Zebrafish Development ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Ecologists are increasingly tapping into AI to assist conservation, but many are grappling with how to use these ...

Machine learning identifies disease-specific signatures in organoids derived from schizophrenia and bipolar disorder patients.