Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Abstract: Oral cancer is a major global health issue accounting for 177,384 deaths in 2018 and it is most prevalent in low- and middle-income countries. Enabling automation in the identification of ...

About This project builds a complete deep‑learning pipeline for scene image classification using a custom Convolutional Neural Network (CNN) trained on a 6‑class natural scene dataset. It covers ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Abstract: Deep learning (DL) has been widely investigated in a vast majority of applications in electroencephalography (EEG)-based brain–computer interfaces (BCIs), especially for motor imagery (MI) ...

This project is a web-based Medical Image Classification application developed using Python, TensorFlow/Keras, and Streamlit. The application classifies chest X-ray images into two categories: Normal ...

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...

AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...