Demonstrate how machine learning tools can aid development of formulation, analysis and manufacturing of pharmaceutical drug products

The challenges posed by global climate change and disease risks have intensified the demand for efficient and practical materials and molecules. Traditional trial-and-error approaches are becoming increasingly inefficient and resource-intensive. The rapid advancement of artificial intelligence (AI) has opened new avenues to accelerate research and shorten development cycles.

Iridium (III) complexes are used for a wide variety of applications owing to their thermal stability, tuneable electronic properties and strong photoluminescent character. Iridium (III) complexes can be structurally altered to change the wavelengths of light they absorb and emit making them desirable for organic light emitting diodes (OLEDs) and photocatalysis.

Common beans, which contain diverse bioactive molecules, have not been systematically studied for their variation in how they affect the human gut microbiome.