Scientists at Tufts have created a powerful 3D model of nasal tissue that reveals surprising new insights into how our sense of smell regenerates and why it sometimes fades. Contrary to past ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

The old measurements of leverage, utilization, margin, billing rate, and realization fall short of the new reality.

As post-quantum security moves closer to reality, efforts like Google’s Merkle Tree Certificates highlight the need to ...

Artificial intelligence is fundamentally changing how software is built. It is moving beyond just speeding up tasks. AI is ...

By Lorna Patrick, Chief Operating Officer, Upperton In the world of outsourced drug development and manufacturing, risk ...

As the AI era becomes increasingly shaped by foundation models, the pharmaceutical industry is entering a new phase of opportunity for discovery, design, and decision-making driven by AI for science.

The Digital 2026 Global Overview Report shows customers aren’t following your map anymore — they’re building their own across ...

Celonis' Christoph Schettler declares that the era of reactive supply chains is over. As geopolitical disruptions in critical ...