Tropical cyclones are among the deadliest natural disasters, and the most expensive to recover from. Accurately predicting their tracks and intensities can improve early warning systems, thereby ...

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...

A full-stack web application that uses deep learning to detect and classify plant diseases from leaf images. Built with Next.js, React, TailwindCSS on the frontend and Flask, TensorFlow on the backend ...

Baseline biomarker analysis and clinical outcomes of the PD-1/TGFβR2 bispecific antibody INCA33890 in patients with non-MSI-H metastatic colorectal cancer (mCRC). This is an ASCO Meeting Abstract from ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Dr. Gruber is a marine biologist and the head of Project CETI. One afternoon in January 2024, off the island of Dominica in the Atlantic Ocean, a sperm whale named Pinchy and I drifted calmly at the ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...

This project aims to identify skin disorders and solve important diagnosis-related issues resulting from their varied appearances and slight variations usually resembling one another. Traditional ...