Results 21 to 30 of about 16,504,576 (273)
Model Composition for Multimodal Large Language Models
Recent developments in Multimodal Large Language Models (MLLMs) have shown rapid progress, moving towards the goal of creating versatile MLLMs that understand inputs from various modalities. However, existing methods typically rely on joint training with paired multimodal instruction data, which is resource-intensive and challenging to extend to new ...
Chi Chen 0005 +10 more
openaire +3 more sources
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area [PDF]
Large Language Models (LLMs) have achieved remarkable success and have been applied across various scientific fields, including chemistry. However, many chemical tasks require the processing of visual information, which cannot be successfully handled by ...
Wang, Weiyun +18 more
core +3 more sources
Multimodal large language models for bioimage analysis
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scales, pinpointing the type, quantity, location, and even temporal dynamics of biomolecules.
Shanghang Zhang +3 more
openaire +4 more sources
ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source
ABSTRACT Instruction Tenapanor potentially affects fluid volume and blood pressure. This study explored its effects on these parameters in patients undergoing peritoneal dialysis (PD). Methods We conducted a single‐arm, prospective observational study that enrolled 10 patients on PD with hyperphosphatemia who were newly initiated on tenapanor.
Shun Yoshida +11 more
wiley +1 more source
Kosmos-2: Grounding Multimodal Large Language Models to the World [PDF]
We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world. Specifically, we represent refer expressions as links in Markdown,
Wei, Furu +6 more
core +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Medical multimodal large language models: A systematic review
The rapid advancement of artificial intelligence (AI) has ushered in a new era of medical multimodal large language models (MLLMs), which integrate diverse data modalities such as text, imaging, physiological signals, and genomics to enhance clinical ...
Yuan Hu +4 more
doaj +1 more source

