Nature

Autoencoder-based multimodal prediction of non-small cell lung cancer survival

The ability to accurately predict non-small cell lung cancer (NSCLC) patient survival is crucial for informing physician decision-making, and the increasing availability of multi-omics data offers the ...
Nature

Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer

Immunotherapy is used to treat almost all patients with advanced non-small cell lung cancer (NSCLC); however, identifying robust predictive biomarkers remains challenging. Here we show the predictive ...
National Academies of Sciences%2c Engineering%2c and Medicine

Advances in Multimodal Artificial Intelligence to Enhance Environmental and Biomedical Data Integration-A Workshop

The National Academies of Sciences, Engineering, and Medicine will convene a planning committee to develop a public workshop to explore opportunities for integrating environmental and biomedical data ...
National Academies of Sciences%2c Engineering%2c and Medicine

Multimodal Biomarkers for Central Nervous System Disorders: Development, Integration, and Clinical Utility - A Workshop

A key step towards reducing the burden of central nervous system (CNS) disorders is the identification of disease-specific biomarkers that can help predict, monitor, and guide treatment development.
EurekAlert!

Multimodal fusion of brain imaging data: methods and applications

Neuroimaging provides a means for identifying and measuring the structure and function of the brain. Different non-invasive imaging measurements reveal different characteristics of the nervous system, ...
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 ...
Business Wire

Mindbreeze Improves Enterprise Data Intelligence with Multimodal LLM Integration

CHICAGO--(BUSINESS WIRE)--Mindbreeze, a global leader in AI-powered knowledge management solutions, introduced integrated support for multimodal Large Language Models (LLMs) to its flagship product, ...
InfoQ

Google DeepMind Unveils Gemini 2.0: a Leap in AI Performance and Multimodal Integration

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Frontiers

Multimodal Annotation for Intangible Cultural Heritage: Embodied Knowledge and Technology

The field of Intangible Cultural Heritage (ICH) preservation increasingly depends on multimodal data, ranging from motion ...
VentureBeat

ApertureData offers 10x speed boost to enterprises using multimodal data

Data is the holy grail of AI. From nimble startups to global conglomerates, organizations everywhere are pouring billions of dollars to mobilize datasets for highly performant AI applications and ...
Forbes

Data Connectivity And Multimodal AI For Enterprise Growth

Hemant Madaan is CEO of JumpGrowth with 20+ years in IT & Digital Solutions to guide tech startups and deliver enterprise solutions. AI has seen a meteoric rise over the past decade, moving from ...