Clinical trial protocols remain one of the most time-consuming, error-prone, and expensive parts of drug development, driven in large part by the high frequency of protocol amendments…
Biopharmaceutical R&D is undergoing a rapid digital transformation. Cloud-based informatics platforms, such as Electronic Lab Notebooks (ELNs)…
Artificial intelligence is reshaping pharmaceutical R&D – from identifying novel therapeutic targets and predicting compound efficacy to accelerating clinical translation and enabling precision medicine…
Biopharmaceutical R&D is undergoing a major shift in how laboratories operate. Modern labs excel at capturing enormous amounts of data from advanced instruments…
In the pharmaceutical, biotech, and medical device industries, GxP regulations—including Good Manufacturing Practice (GMP), Good Laboratory Practice (GLP), Good Clinical Practice (GCP), and related standards—ensure product quality, safety, and reliability. Artificial...
Kalleid had the pleasure of attending the largest-ever gathering of the Pistoia Alliance in London, at the Royal Society of Medicine, where more than 300 members gathered from across the biopharmaceutical ecosystem for two full days of learning and networking.
In today’s rapidly evolving educational landscape, understanding the unique needs and preferences of Generation Z is essential. Born into a world dominated by technology, Gen Z learners expect innovation, interactivity, and immediate value in their learning experiences.
My recent participation in Sapio Sciences’ comprehensive Training & Accreditation Program in late March 2025 has provided a transformative perspective on laboratory data management and digital transformation.
Imagine a lab where experiments plan themselves, robots adapt dynamically, and data is analyzed seamlessly into actionable insights. Thanks to advancements in AI and machine learning (ML), closed loop lab automation is closer to reality than ever before.
In drug discovery, artificial intelligence (AI) and machine learning (ML) technologies have significantly changed the way researchers analyze and interpret chemical data. From molecular modeling to predicting drug responses, AI-driven approaches offer opportunities to...