AIMC Topic: Artificial Intelligence

Clear Filters Showing 1451 to 1460 of 26332 articles

Molecular dynamics-driven drug discovery.

Physical chemistry chemical physics : PCCP
Molecular dynamics (MD) simulation is an important tool and has a wide range of applications in many scientific fields, including drug discovery. Herein, focusing on drug discovery, the early compound discovery stage in particular, we discuss some of...

Chemical imaging for biological systems: techniques, AI-driven processing, and applications.

Journal of materials chemistry. B
Visualizing the chemical compositions of biological samples is pivotal to advancing biological sciences, with the past two decades witnessing the emergence of innovative chemical imaging platforms such as single-molecule imaging, coherent Raman scatt...

Artificial Intelligence-Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy.

JCO clinical cancer informatics
PURPOSE: Artificial intelligence (AI) tools that identify pathologic features from digitized whole-slide images (WSIs) of prostate cancer (CaP) generate data to predict outcomes. The objective of this study was to evaluate the clinical validity of an...

Evaluating the readability, quality, and reliability of responses generated by ChatGPT, Gemini, and Perplexity on the most commonly asked questions about Ankylosing spondylitis.

PloS one
Ankylosing spondylitis (AS), which usually occurs in the second and third decades of life, is associated with chronic pain, limitation of mobility, and severe decreases in quality of life. This study aimed to make a comparative evaluation in terms of...

Managers' perceptions and attitudes toward the use of artificial intelligence technology in selected hospital settings.

International journal of medical informatics
BACKGROUND: Over the past decade, artificial intelligence (AI) has transformed healthcare systems by improving cost control, clinical decision-making, and chronic disease management. This study assessed healthcare managers' perceptions of AI use in h...

Advancing active compound discovery for novel drug targets: insights from AI-driven approaches.

Acta pharmacologica Sinica
The discovery of active compounds for novel, underexplored targets is essential for advancing innovative therapeutics across a wide range of diseases. Recent advancements in artificial intelligence (AI) are revolutionizing active compound discovery b...

Practical implementation of AI in a non-academic, non-commercial Pathology laboratory: Real world experience and lessons learned.

Histopathology
AIMS: As pathology departments transition towards digital workflows, the integration of artificial intelligence (AI) is anticipated to become increasingly common. This study aimed to describe the real-world implementation and impact of AI integration...

Predicting response to patients with gastric cancer via a dynamic-aware model with longitudinal liquid biopsy data.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
BACKGROUND: Gastric cancer (GC) presents challenges in predicting treatment responses due to its patient-specific heterogeneity. Recently, liquid biopsies have emerged as a valuable data modality, offering essential cellular and molecular insights wh...

Achieving success through ethical introduction of artificial intelligence in the healthcare ecosystem.

Healthcare management forum
Just as healthcare organizations must carefully consider how to incorporate Artificial Intelligence (AI) into patient-facing apps and messaging, so must they also think about how to ethically introduce AI into the workplace. Unreasonable expectations...