Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
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Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Fig. 1. Network structure and flow chart. (a) Schematic diagram of the physical model; (b) Basic structure diagram of the proposed network; (c) Image generation process of the physical model; (d) ...
An open-label, phase I trial of the SIRPα monoclonal antibody, BI 770371, alone and in combination with the PD-1 inhibitor ezabenlimab in patients with advanced solid tumors. This is an ASCO Meeting ...
Artificial Intelligence (AI) has become an integral part of modern technology, transforming various industries by simulating human intelligence through computers. This guide delves into the world of ...
Molecular markers associated with survival in PD-L1– high non-small cell lung cancer treated with first-line immunotherapy versus chemoimmunotherapy. This is an ASCO Meeting Abstract from the 2025 ...
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