Co., Ltd. recently announced good news: its patent for the "Application Method and System of Self-Supervised Learning Model in Cell Image Classification" has been authorized, with patent number ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

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 ...

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

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

Spotting a concussion can be tricky. After a potential head injury, you can ask if the person feels dizzy or has a headache — ...

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

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

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

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

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