Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Japanese researchers trained cultured rat cortical neurons to autonomously generate complex temporal signals using a ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales.

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...

Gynecological malignancies, including ovarian, endometrial (uterine), and cervical cancers, represent a substantial global health burden. Cervical cancer ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...