ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
Tech Times on MSN

Argonne fits transformer AI into nuclear safety simulation: Speed meets accuracy

AI nuclear reactor simulation just cleared a decades-long engineering hurdle: Argonne National Laboratory has embedded a ...
pv magazine International

Deep learning model improves PV segmentation in remote sensing images

Scientists have developed a deep learning model that improves PV panel segmentation in remote sensing images, by combining ...
European Medical Journal

AI Model Enhances DAPT Risk Assessment After PCI

Transformer-DAPT improved prediction of ischaemic and bleeding risks after PCI. Read more about the new study.

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
technologynetworks

Deep Learning for Biology: Neural Networks, Transformers, and When They're Worth the Complexity

Deep learning has become the default answer to almost every hard problem in computational biology, but it is not always the right one. Applying deep learning to biology research pays off when raw, ...
CU Boulder News & Events

Building a Vision Transformer Model From Scratch

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...