Nature

Multimodal deep learning prediction of treatment response to anti-vascular endothelial growth factor in diabetic macular oedema

To develop and validate a multimodal deep learning model that predicts treatment responses to intravitreal anti-vascular endothelial growth factor (anti-VEGF) injections in patients with diabetic ...
Nature

Enhancing societal security: a multimodal deep learning approach for a public person identification and tracking system

In recent times, notable progress has been made in the field of computer vision technology pertaining to the identification of individuals within a crowd. The utilisation of visual media, including ...
Frontiers

Generative AI and Multimodal Learning for Early Gastric Cancer Detection Using Small, Imbalanced, and Heterogeneous Clinical Data

Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...
ascopubs.org

Non-invasive colorectal cancer detection using multimodal deep learning ensemble classifier.

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 ...

Deep Learning Market to Reach $1,963.25 Billion by 2035 as Generative AI and Enterprise Automation Drive Massive AI Investments | Research by SNS Insider

The U.S. Deep Learning Market is Projected to Grow from $37.14 Billion in 2025 to $596.02 Billion by 2035, While Europe is Expected to Expand from $31.98 Billion to $451.64 Billion, Fueled by Rapid ...
ascopubs.org

Deep-learning model for real-time prediction of recurrence in early-stage non-small cell lung cancer: A multi-modal approach.

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 ...
techtimes

Advancing Multimodal AI for Integrated Understanding and Generation

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...