Bioanalytical method development and validation are at the forefront of ensuring rigorous, reproducible and reliable data in both drug development and clinical diagnostics. The field encompasses the ...

Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer The first approach led to a ...

We conducted a single-centered retrospective cohort study in patients with advanced solid tumors. Clinical correspondence authored by oncologists at the first patient encounter was extracted from the ...

Since the introduction of Inductively Coupled Plasma – Optical Emission Spectroscopy (ICP OES) in 1974, and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in 1980, these techniques have ...

In the information age, bridging the gap between data and clinical application is crucial. The Center for Clinical and Translational Science (CCTS) is making significant investments in this area. Over ...

Anyone relying on the particle size results from DLS or liquid particle counters should consider and address how the data will be used and how to assure the quality of the final results. This ...

This talk will focus on doing method validation work in an environment where data is gathered from laboratory information systems and chromatography data systems. We’ll see how these systems can be ...

This course will provide you with the requisite scientific knowledge and understanding of analytical method lifecycle management, which includes the activities of validation, verification, transfer, ...

The FDA Process Validation training highlights opportunities in enhancing comprehension of constant process verification aligned with lifecycle concepts. It addresses early R&D phases through ...