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...]
The Role of AI in Precision Medicine: The Right Drug for the Right Patient at the Right Time
Article contributed by: Rich Christie, MD, PhD, Chief Medical Officer, AiCure We’re continuing to see AI’s ability to transform clinical research and drug development, from its ability to streamline processes, to its capacity to drive efficiency. Even more remarkable is AI’s potential to propel precision medicine forward. AI can help the pharmaceutical industry achieve … [Read more...]
How can pharmaceutical corporations successfully collaborate with tech startups?
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...]
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...]