On May 17th, 500+ of pharma’s clinical innovation will come together for the home of clinical collaboration, Reuters Events: Pharma Clinical 2022, to set new standards in digital and patient innovation for clinical transformation. The catalyst for this has been the accelerated technological adoption in clinical trials, but a general feeling still that enough isn’t being done … [Read more...]
Digital Home Hospital Solutions Can Play a Valuable Role in Decentralized Clinical Trials
Authored and contributed to PharmaLeaders by: Gary Manning, Senior Vice President and General Manager, Healthcare, physIQ, and Mike Petrarca, Senior Vice President and General Manager, Life Sciences, physIQ For more than a few years, buzz has been steadily building around digital home hospital care models. However, the pandemic has accelerated enthusiasm for taking the … [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...]