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Pathological outcomes and disease-free survival (DFS) in KEYNOTE-905: Neoadjuvant and adjuvant (neoadj-adj) enfortumab vedotin (EV) plus pembrolizumab (pembro) in participants (pts) with ...

In today's world, Hari Suresh Babu Gummadi, a researcher focused on medical technology innovation, presents a transformative solution in his latest work on multimodal AI for personalized healthcare.

In recent years, the advancement of multimodal large language models (MLLMs) has increasingly demonstrated their potential in medical data mining. However, the diversity and heterogeneity nature of ...

Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for Extended Reality (XR) headsets, revealing significant trends in spatial ...

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.

Enterprises are rethinking AI-assisted content creation by combining governance policies, multimodal integration, and human oversight to balance speed with credibility. New approaches span interactive ...

AnyGPT is an innovative multimodal large language model (LLM) is capable of understanding and generating content across various data types, including speech, text, images, and music. This model is ...