AI adoption in life science labs faces a growing skills barrier
Pistoia Alliance survey also found that the greatest benefit for lab digitalisation has shifted from efficiency to innovation.
List view / Grid view
Pistoia Alliance survey also found that the greatest benefit for lab digitalisation has shifted from efficiency to innovation.
The new $6.5 billion Houston site will manufacture active pharmaceutical ingredients (APIs) in support of the company’s pipeline of small molecule medicines.
Extends its digital transformation partnership with Siemens to make greater use of automation, data and AI in its services.
This in-depth focus features articles on rapid microbiological methods, quality control, and using AI to read agar plates.
EPR Issue 3 includes articles on microbiology, downstream processing, manufacturing, drug formulation and more.
The new $5 billion manufacturing site is set to become the company’s first integrated facility for API and drug product manufacturing.
Says the Bay Area building’s digital infrastructure will make it one of biopharma’s leading artificial intelligence-powered centres.
The new Thousand Oaks, California facility will incorporate advanced automation and digital capabilities.
The pharma company’s digital innovation efforts also progress with the opening of a new Hyderabad facility.
In this article, Patrice Navarro, Tech Partner (Healthcare & Life Sciences Sector), Clifford Chance, discusses the AI Act and the related compliance considerations for pharmaceutical companies in the EU.
New digital initiative will support the pharma company’s manufacturing and supply chain ambitions.
CPI’s strategy will help pharmaceutical industry partners to accelerate digitalisation of the pharmaceutical manufacturing process.
The research highlights that major barriers to digital innovation in life sciences include cultural attitudes on AI’s potential, governance and digital skills.
Increased adoption of artificial intelligence (AI) and machine learning (ML) in microbiology is set to be a key driver of the global automated microbiology market to 2033, research asserts.
Utilising a digital twin for an advanced process control strategy facilitates additional productivity gains of 20 percent at 99.9 percent reliability, the authors shared.