Data and Artificial Intelligence

Collecting and curating R&D data are increasingly crucial tasks for achieving the full benefits of advanced analytics.

The new meeting program will create a dialogue around AI and be administered through CDER’s Emerging Drug Safety Technology Program.

Digital transformation is allowing for better handling, analysis, and protection of vast data collection.

Despite its understandable hesitancy, the pharma industry is facing a need for more widespread adoption of cloud-based solutions.

MilliporeSigma’s new platform combines generative AI, machine learning, and computer-aided drug-design aimed at increasing the success rate of new drugs and therapies.

Best practice methods for the tech transfer of CGTs can increase process and analytics robustness while remaining scalable.

Under this multi-year collaboration, Genentech and NVIDIA will use AI to optimize and accelerate each company’s platforms to discover and develop innovative therapeutics.

Advancing digital transformation can significantly reduce R&D costs and shorten drug discovery timelines.

VeriSIM Life and Mayo Clinic are collaborating to develop new promising drug candidates.

Integrating digital technologies into lab environments can ease workflow and enhance data capture for researchers.

This article is focused on introducing a control chart technique using relative standard deviation (RSD) statistics (i.e., RSD chart); in other words, a coefficient of variation chart for continued process verification.

Biograd Diagnostics has chosen the Matrix Gemini system by Autoscribe Informatics as its laboratory information management system for managing COVID-19 test samples.

The “cloud lab” is a virtual laboratory setting that can enable scientists to more quickly advance research.

Why critical thinking must be applied before technology to ensure regulatory compliance.

The acquisition and analysis of MS data can be made more efficient with the integration of modern software tools.

The automation of analytical workflows generates higher volumes of data that also require advanced technologies to manage.

Getting started with a PAT framework enables automation with digital technologies.

For some manufacturers, the goal was to be fully compliant with the DSCSA, including both serialization and aggregation, from day one.

Automated analytical workflows require advanced technologies to manage the higher volume of data output.

PhoreMost has entered into separate collaboration agreements with Polaris Quantum Biotech and NeoCura Bio-Medical Technology to discover and develop novel cancer therapeutics.

Merger with Phlexglobal expands provider’s technological capabilities.

The acquisition of Protein Metrics expands Insightful Science’s R&D solutions to include proteomics.

Bio/pharmaceutical manufacturing harnesses the benefits of digital transformation.

Synthace has raised $35 million in funding to fuel growth of its life sciences R&D technology.

Thermo Fisher Scientific showcases its new mass spectrometry and chromatography solutions at the ASMS Conference on Oct. 31–Nov. 4, 2021.

The increased flow of data from laboratory studies requires a data management strategy to optimize study success.

The new LabVantage Enterprise SaaS adds full configurability and custom interfacing capabilities.

Mechanistic models provide process understanding for developing robust manufacturing processes and for scale up and tech transfer.

Consider how to apply ALCOA+ to a building management system in non-clinical laboratories.

Sponsors should consider best practices for maintaining data generated during sample analysis and instrument maintenance.