We present a workflow that uses digital tools to optimise the experimental approach and
maximise the efficiency in achieving the required process parameters for a desired set of …

Crystallization is a crucial process in the pharmaceutical industry, usually modeled by
Population Balance Models (PBM). This study introduces a novel approach, combining PBM …

Thanks to advances in instrumentation and analysis methods, particularly deep
convolutional neural networks (CNNs), imaging is used as an analytical method in the …

Imaging and image-based process analytical technologies (PAT) have revolutionized the
design, development, and operation of crystallization processes, providing greater process …

Crystals are integral to a variety of industrial applications, such as the development of
pharmaceuticals and advancements in material science. To anticipate crystal behavior and …

Polyphenol-based materials, primarily composed of polyphenolic compounds, have
attracted considerable attention due to their unique chemical structures and biological …

Organic chemistry is undergoing a major paradigm shift, moving from a labor-intensive
approach to a new era dominated by automation and artificial intelligence (AI). This …

The ever-increasing demand for novel drug development has spurred the adaptation of
conventional research methods in the era of artificial intelligence. Pharmaceutical …

Background Dental plaque microbes play a key role in the development of periodontal
disease. Numerous high-throughput sequencing studies have generated understanding of …

Abstract Machine learning (ML) and artificial intelligence (AI) have enabled transformative
impact on materials science by accelerating cutting-edge insights from computational …