Information Technology

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

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.

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.

The implementation of Industry 4.0 is projected to save time and cost for designing an optimal manufacturing process.

Using a predictive modeling approach can help tighten up operator control over bioprocessing, which in turn can increase bioreactor output.

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

The business impact of modeling and simulation tools is not well understood and requires clarification of their benefits to drug development.

One can use modeling methods to generate data and shorten development timelines in preclinical studies.

Applying modeling methods in preclinical studies can be a powerful tool for generating data and shortening development timelines.

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

The integration of modern software tools can make the acquisition and analysis of MS data more efficient, accurate, and compliant.

Recent trends in data analytics highlight the use of modeling techniques to improve process control and monitoring in biopharmaceutical production.

Lighthouse manufacturing techniques utilize technology and automation to streamline production.

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

Fosun Pharma and Insilico Medicine will collaborate on AI-driven drug discovery and development of product candidates targeting multiple disease targets.

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

Qualified algorithms enable validation of machine learning models that can be used for process optimization.

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.

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

Early control architecture decisions can impact a facility’s long-term growth, flexibility, and efficiency.

Establishing a data management strategy in-lab is a first step in generating successful analytical studies.

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.

Models of biopharmaceutical processes can be used for speeding development and improving process control.

Scenario modeling informs planning for current and future manufacturing needs.

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

The Module Type Package standard is now supported in Emerson’s DCS and PLCs.

Digitalization of bioprocessing operations, equipment, and facilities can improve workflow and output, but maintaining data integrity is a concern.

Integration of Brooks Life Sciences BioStore III automated storage and inventory monitoring solution with Cytiva’s Chronicle software will improve traceability, process control, and monitoring capabilities.