Phys.org

Multimodal machine learning model increases accuracy of catalyst screening

Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Nature

Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

Distal sensorimotor polyneuropathy (DSPN) is a common neurological disorder in elderly adults and people with obesity, prediabetes and diabetes and is associated with high morbidity and premature ...
Nature

Integrative multimodal hybrid data fusion for mortality prediction

Multimodal Machine Learning (MML) methods address various efficient ways of driving insights from various data modalities, e.g., in healthcare settings, tabular electronic health records along with ...
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 ...
Forbes

Sensing Success: OpenAI, Anthropic And 40+ Others Leverage Multimodal AI

LONDON, ENGLAND - APRIL 04: Ai-Da Robot, an ultra-realistic humanoid robot artist, paints during a press call at The British Library on April 4, 2022 in London, England. Ai-Da will open her solo ...
ascopubs.org

Development and real-world validation of a multi-modal machine learning model to predict response to immune checkpoint inhibitors in cancer patients.

Trends in immune-related adverse event reporting among multidisciplinary cancer programs. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...