Authored and contributed to PharmaLeaders by Michelle Marlborough, Chief Product Officer, AiCure, LLC Machine learning (ML) innovation for clinical research holds great promise for improving drug development and patient care. But, like with all new technology, increasing prevalence can be accompanied by growing skepticism. Pharmaceutical sponsors and clinicians are … [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...]
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...]
Patient-Centered Approaches to Clinical Research in Oncology
Article contributed to PharmaLeaders by Edward F. Ikeguchi, M.D., the Chief Executive Officer at AiCure Most of us have personal experiences with cancer, whether ourselves or with loved ones. We know that cancer is frightening and that treatment regimens can be stressful, exhausting and overwhelming. Patients participating in drug trials for oncology are subject to a list of … [Read more...]