Pharma on STEM to STEAM

Artificial Intelligence

Mon, 01 Jan 0001 00:00:00 +0000

There has been a lot of hype around AI and pharma - how it can reduce costs and remove a lot of manual labor that for sometime was always seen as necessary human activities, that is writing. But now with large language models, AI can really start eroding away at those manual human tasks and launch us into the Industry 5.0 mentality of workers with AI assistance to do their jobs.

Scientific Method in Digital Age

Mon, 01 Jan 0001 00:00:00 +0000

Scientific Method in the Digital Age#

The core principles of the scientific method—asking questions, forming hypotheses, designing experiments, collecting data, and sharing results—remain unchanged. However, in the digital era, how we document, analyze, and communicate our work must evolve to ensure research is transparent, reproducible, and collaborative.

Inspired by The Turing Way, this section explores methodologies and best practices for reproducible research in pharmaceutical science. The Turing Way emphasizes that reproducibility is not just a technical challenge, but a cultural one, requiring open tools, clear documentation, and inclusive collaboration.

Analytical Chemist

Mon, 01 Jan 0001 00:00:00 +0000

An analytical chemist ensures data quality, traceability, and measurement accuracy across scientific and engineering projects. This persona is a natural bridge between laboratory science and creative innovation.

In the STEAM knowledge graph, the analytical chemist sits at the intersection of Science (Chemistry) and Arts (Pharma, Control Strategy), generating the empirical data that flows into Mathematics (Predictive Modeling) and Technology (Big Data analytics).

Pharma Product Developer

Mon, 01 Jan 0001 00:00:00 +0000

A pharma product developer coordinates research, formulation, manufacturing, and regulatory strategy to bring new therapies to market. This persona is a key connector between science, engineering, design, and human-centered outcomes.

In the STEAM knowledge graph, the pharma product developer traverses all five domains: grounded in Science (chemistry, biology), structured by Arts (knowledge management, QbD), validated by Mathematics (predictive modeling), implemented in Engineering (manufacturing), and enabled by Technology (digital tools, Industry 4.0).

Pharma on STEM to STEAM

Artificial Intelligence

Scientific Method in Digital Age

Scientific Method in the Digital Age#

Analytical Chemist

Knowledge Graph Connections

Pharma Product Developer