Frontiers

Multi-modal Learning with Large-scale Models

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
ascopubs.org

Predicting clinical outcomes in the S1314-COXEN trial using a multimodal deep learning model integrating histopathology, cell types, and gene expression.

Correlation of urinary comprehensive genomic profile with risk of recurrence of BCG-unresponsive non-muscle invasive bladder cancer treated with atezolizumab in SWOG S1605. This is an ASCO Meeting ...
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 ...
Frontiers

Revolutionizing Skin Cancer Diagnostics with AI and Multimodal Imaging

In the evolving landscape of oncology, skin cancer diagnosis stands out as a domain where the synergy between AI and multimodal imaging is rapidly changing ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
TMCnet

AI in Biotechnology Market Size to Reach USD 1,971 Million by 2031 | Valuates Reports

BANGALORE, India , Feb. 17, 2026 /PRNewswire/ -- According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and is projected to reach a ...