
Trusted Evidence in the Age of AI
AI in pharma has moved past the hype cycle and into implementation. The organizations that pull ahead won't have the most sophisticated models — they'll have the strongest evidence foundation underneath them.

AI in pharma has moved past the hype cycle and into implementation. The organizations that pull ahead won't have the most sophisticated models — they'll have the strongest evidence foundation underneath them.

Drug discovery generates enormous amounts of data, but turning it into meaningful insight is a major challenge.

Pharma 4.0 is high on every strategic agenda. Yet many struggle to turn digital ambitions into measurable results. Projects stall, systems don’t align, and valuable insights remain locked in fragmented data structures.

Smart Experimentation - why the combination of Design of Experiments and Bayesian Optimization with intuitive analytics is the most important productivity lever your R&D organization isn't using

Shorter development cycles and complex active ingredients are demanding integrated solutions. Guided by the principle "Together – from lab to production," Fette Compacting positions its R&D Solutions as a partnership.

How Artificial Intelligence is transforming the work of biotech and pharma companies.

Siemens and HighByte have joined forces to solve industrial data fragmentation. HighByte's Intelligence Hub connects OT and IT data sources to help manufacturers build and scale industrial AI applications.

Sygnature Discovery has partnered with AI firm DaltonTx to sharpen its drug discovery pipeline, bringing faster medicinal chemistry decisions and tighter data privacy to its CRO offering.

June 23, 2026 | Explore how AI-driven materials informatics is reshaping polymer development, as industry leaders reveal practical strategies for scaling digital platforms and accelerating innovation.

As discovery accelerates and throughput rises, digital transformation is becoming essential for chemistry labs. AI, robotics, and data growth must be orchestrated to boost productivity—rather than overwhelm the lab.

AI and evolving regulations set to transform biopharma operations in drug development and quality.

Entalpic replaces trial‑and‑error materials R&D with a closed‑loop AI platform combining simulation and lab validation.

From In Silico Design to In Vitro Impact

New $130 million facility in Jealott’s Hill, UK, to focus on next-generation, sustainable solutions for farming.

Explore how antibody-drug conjugates are reshaping precision cancer therapy and discover what it takes to successfully develop, manufacture, and scale these complex biologics.

Inventory, significance and solutions for the process and chemical industry

Strong Supply Chains, Efficiency, Digitalization, and Talent Development are Crucial for Chemical Distributors

Dunia Innovations Merges AI and Robotics to Accelerate Real-World Materials Discovery

How AI and Robotics are reshaping the race for materials discovery.

Discover how digitalization is revolutionizing energy and resource efficiency in plant operation in the chemical industry.

The award winner will receive access to Merck's technologies and expertise to expand its AI-based genome editing platform.

Build an AI-ready Data Strategy to Drive Faster Insights, Smarter R&D, and Measurable ROI.

Cutting Time and Cost of Developing Sustainable Products with AI-Powered Solutions

Dutch start-up Mavisol has developed an innovative machine vision and AI solution designed specifically for plastic converters, with the aim of promoting environmental sustainability and improving material reuse efficiency.

John Banovetz, Chief Technology Officer at 3M, on the role of digital transformation in realizing the company's goals.

In 2024, the chemical distribution industry is at a pivotal moment, navigating both challenges and new opportunities. As distributors grapple with a landscape shaped by shifting global trade routes, demand constraints, and digital disruption, their roles are evolving far beyond traditional bulk breaking.

Artificial intelligence (AI) has made groundbreaking progress in recent years, particularly through innovations in machine learning and neural networks. These developments are largely driven by deep learning technologies, which enable the recognition of complex data patterns and the achievement of human-like performance in areas such as speech recognition, image processing, and decision-making.

SABIC recently announced the official launch of its new US$170 (€157.7) million ultem resin manufacturing facility in Singapore, marking the company’s first advanced specialty chemical manufacturing facility in the region producing the high-performance thermoplastic, ultem resin.

In collaboration with Shell, COAC has implemented the Smart Equipment Passport (SEP), a solution to create digital identities of equipment that can be used to exchange information with internal and external users safely and securely.

Egrobots, a start-up from Egypt, developed a solution for efficient farm monitoring and management using AI and robotics. Their innovation includes an autonomous robot, that roams around the farm, scanning the plants on a leaf-level with high resolution and an AI that analyses this data.

Artificial intelligence (AI) can help companies in the process industry capture, retain and access valuable historical expertise and ease the transition for new colleagues in the plant.

Generative AI can impact the field of chromatography in various innovative ways. However, great care needs to be taken to validate any use of this emerging technology from a technical, quality and regulatory perspective.

The logistics industry urgently needs digital transformation to ensure quality and to tackle challenges such as the shortage of skilled workers and sustainability.

Partex Group, an AI-driven drug discovery company, today announces a collaboration with global pharmaceutical company Sanofi, aimed at using Partex’s AI technology to enhance the value of Sanofi's out-licensing portfolio.

Iktos, a French company specialized in artificial intelligence (AI) for new drug design, and Bayer’s Crop Science division announced a collaboration to expand the use of AI in the discovery and development of new sustainable crop protection products.





























