Article contributed by: Tristan Salomon, founder and CEO of Axom, and expert in Machine Learning, Big Data and AI. Any business needs to possess top-level technological advances not just to stand out from, but at least to keep up with the competition. This is especially true for pharmaceutical companies. The current pandemic situation has tested them on the ability to … [Read more...]
Using AI in a heavily regulated environment: drug and vaccine inspection
Article authored and contributed to PharmaLeaders by: Tristan Salomon, a Machine Learning, Big Data and AI expert. He’s the founder and CEO of Axom, a company that helps customers integrate machine learning into their processes with a special focus on visual inspection and traceability for the healthcare market. In August the news about Japan suspending 1.63 million doses … [Read more...]
Pharma Leadership: Cultivating Talent in Uncertain Times
Article contributed to PharmaLeaders and authored by: Beth Doladee, M.A., M.B.A., Managing Consultant and Neelima Paranjpey, Ph.D., Managing Consultant, The Vaya Group Executive Summary Today’s highly dynamic, fast-paced pharmaceutical industry requires knowledge preservation and leaders who understand these unique challenges. This means developing leadership from within, … [Read more...]
Deciphering Complex Lab Data With Machine Learning
Authored and contributed to PharmaLeaders by Jason Bhan, MD Accurate analysis of healthcare data is critical for research, delivery of care, treatment variability, and improving patient outcomes. The ability to identify patterns in real-world data (RWD) demands insights with faster speeds, greater specificity, and improved accuracy. And the challenges are increasing as more … [Read more...]
The Roadmap to Real-Time Data Sharing in Clinical Trials
Article authored and contributed to PharmaLeaders by Marc Leighton, VP of Product for Florence Healthcare With the rise of decentralized technology across the clinical trial industry, real-time data sharing has become critical. If research sites, local physicians, trial participants, CROs, and sponsors can’t instantly share data with one another, remote or hybrid clinical … [Read more...]