Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Panelists at INTERPHEX 2026 talked about the move to hybrid modeling for process development and the barriers to the adoption ...

Shapiro-backed HB2151 is a threat to the municipal zoning process dozens of communities across PA have relied on to stop data centers ...

NIIMBL’s 2025 National Meeting emphasized the need for system interoperability through standardization of means for data ...

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

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

Twelve months after releasing a roadmap to shift away from animal testing requirements, the FDA has declared mission ...

Data highlight RM-055's ability to overcome resistance and provide deep, durable antitumor activity across preclinical models ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...