AI Medical Compendium Journal:
SLAS technology

Showing 81 to 86 of 86 articles

Automated Preparation of MS-Sensitive Fluorescently Labeled N-Glycans with a Commercial Pipetting Robot.

SLAS technology
N-Glycan analysis is routinely performed for biotherapeutic protein characterization. A recently introduced N-glycan analysis kit using RapiFluor-MS (RFMS) labeling provides time savings over reductive amination labeling methods while also providing ...

New Capabilities of EvoBot: A Modular, Open-Source Liquid-Handling Robot.

SLAS technology
We introduce a robot developed to perform feedback-based experiments, such as droplet experiments, a common type of experiments in artificial chemical life research. These experiments are particularly well suited for automation because they often str...

Continuous Adaptive Population Reduction (CAPR) for Differential Evolution Optimization.

SLAS technology
Differential evolution (DE) has been applied extensively in drug combination optimization studies in the past decade. It allows for identification of desired drug combinations with minimal experimental effort. This article proposes an adaptive popula...

Artificial Neural Network for Total Laboratory Automation to Improve the Management of Sample Dilution.

SLAS technology
Diluting a sample to obtain a measure within the analytical range is a common task in clinical laboratories. However, for urgent samples, it can cause delays in test reporting, which can put patients' safety at risk. The aim of this work is to show a...

Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language processing.

SLAS technology
Anaesthesia management is a critical aspect of perioperative care, directly influencing postoperative recovery, pain management, and patient outcomes. Despite advancements in anaesthesia techniques, variability in patient responses and unexpected pos...