AIMC Topic: Laboratories

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A Visual Dataset for Anomaly Detection in Self-Driving Laboratories.

Scientific data
Self-driving laboratories accelerate the application of the scientific method and the discovery process through high-throughput experimentation, intelligent perception and planning, and effective human-robot collaboration. However, detecting anomalie...

Artificial intelligence in the non-clinical laboratory: enhancing good laboratory and documentation practices.

International journal of pharmaceutics
Non-clinical laboratories are under increasing regulatory pressure from agencies such as the FDA, EMA, and MHRA to ensure data integrity, traceability, and compliance with Good Laboratory Practice (GLP) and Good Documentation Practice (GDP). While Ar...

Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges.

Science robotics
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization,...

Educators' experience and guide to scaffolding generative AI applications throughout a physiology and pharmacology undergraduate laboratory course.

Advances in physiology education
One of the identified points of confusion and a barrier to students using generative artificial intelligence (GenAI) is knowing what their professor would consider appropriate use of GenAI in a classroom setting or course framework. This creates poin...

Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories.

Sensors (Basel, Switzerland)
We investigate the application of deep learning in comparing gait cycle time series from two groups of healthy children, each assessed in different gait laboratories. Both laboratories used similar gait analysis protocols with minimal differences in ...

Autonomous mobile robots for exploratory synthetic chemistry.

Nature
Autonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making. Most autonomous laboratories involve bespoke automated equipment, and reaction outcomes are ofte...

A comprehensive survey of artificial intelligence adoption in European laboratory medicine: current utilization and prospects.

Clinical chemistry and laboratory medicine
BACKGROUND: As the healthcare sector evolves, Artificial Intelligence's (AI's) potential to enhance laboratory medicine is increasingly recognized. However, the adoption rates and attitudes towards AI across European laboratories have not been compre...

Towards robotic laboratory automation plug & play: Reference architecture model for robot integration.

SLAS technology
Supportive robotic solutions take over mundane, but essential tasks from human workforce in biomedical research and development laboratories. The newest technologies in collaborative and mobile robotics enable the utilization in the human-centered an...

The environmental impact of AI in the lab: a double-edged sword?

BioTechniques
Computational tools, particularly AI, are becoming more ubiquitous in scientific research; but what impact do they have on the environment?[Formula: see text].

Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.

JMIR medical education
BACKGROUND: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first p...