Artificial Intelligence (AI) has significantly transformed high throughput screening (HTS) in drug discovery, increasing efficiency, accuracy, and predictive capabilities in early drug development stages. This research highlights AI's integration into HTS processes, showcasing improved outcomes in hit identification, assay optimization, and target validation, thus accelerating and refining the search for new medications.

Concise and insightful summaries of presentations delivered by prominent thought leaders at Discovery Europe 2023.

Concise and insightful summaries of presentations delivered by prominent thought leaders at Pharmaceutical Mobile Robotics 2023.

Concise and insightful summaries of presentations delivered by prominent thought leaders at SmartLabs Automation 2023.

Read how innovators are transforming the industry towards one that prioritizes both healthy patients and a healthy planet.

Iambic Therapeutics’ protein structure predictive model, NeuralPLexer2, surpasses AlphaFold2’s abilities.

Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.

Machine learning model paves the way for predicting lung cancer.

Discover the transformative role of AI and ML in improving ligand-based virtual screening outcomes, from breakthrough drug candidate identification to overcoming challenges in data quality and computational resources

Automation of laboratory workflows can improve the speed and efficiency of QC and R&D; the acquisition represents the development of Bruker’s entry into the field.

Medicinal chemistry is rapidly advancing with the integration of automation technologies, which are revolutionizing the synthesis and development of new drugs by enhancing efficiency, precision, and creativity.

The collaboration hopes to develop a AAV gene therapy for rare genetic disease Angelman syndrome.