Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
Researchers develop multimodal deep learning model to enhance precision radiotherapy decision-making
Cervical cancer is a major public health concern that poses a significant threat to women's health. Standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS) in approximately ...
Effect of breast tissue density on cell-free orphan non-coding RNAs secreted by breast cancers. Nature and distribution of methyl thioadenosine phosphorylase (MTAP) genomic loss in human tumors. This ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Implications of EGFR expression in MAPK dependency and adaptive immunity status of EGFR-mutated lung adenocarcinoma. Baseline RADAR score and optimal threshold of predicting relapse within one year ...
The new MMAI risk grouping system can potentially reduce overtreatment and undertreatment of localized prostate cancer. Deep learning multimodal artificial intelligence (MMAI) models outperformed ...
Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...
Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...
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