Inquiry-based biomimicry course inspires students to design solutions by learning from nature

Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...
IEEE

Decentralized QoS-Aware Model Inference Using Federated Split Learning for Cloud-Edge Medical Detection

Abstract: The application of federated learning (FL) has been widely extended to medical domains, including medical image analysis and health monitoring. With the increasing computation power demand ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
IEEE

Serious Game Design Based on the ADDIE Model: Enhancing Children's Learning Experience About Palaeoloxodon

Abstract: This study applies the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) instructional design model to develop a serious game focused on Palaeoloxodon, aiming to enhance ...
The Lancet

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing ...

aDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China bKey Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences, ...

Vibrant Publishers’ Learning and Development Essentials Helps Professionals Strengthen Corporate Learning Programs

Albert Singh, with over 15 years of experience in talent development, simplifies program design, learning strategies, ...
GitHub

Deformable DETR

This repository is an official implementation of the paper Deformable DETR: Deformable Transformers for End-to-End Object Detection. TL; DR. Deformable DETR is an efficient and fast-converging ...