Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...

Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...

Cleveland Clinic researchers are working to improve the way we use evolutionary modeling to understand drug resistance. The study, published in Science Advances, uses a new type of evolutionary model ...

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort Current precision medicine (CPM) matches patients to ...

In a recent study published in Nature Genetics, a group of researchers advanced variant effect prediction across the human proteome by integrating deep evolutionary signals with human population ...

As tech companies race to deliver on-device AI, we are seeing a growing body of research and techniques for creating small language models (SLMs) that can run on resource-constrained devices. The ...