Article authored and contributed to PharmaLeaders by: Carlo Chatman, Power PR Cell and gene therapies are dominating the world of drug development. With the promise of significant breakthroughs in treatment of diabetes, cancer, and congenital conditions, it is no wonder that research and development is predicted to reach $232.5 billion by 2026, up from $186 billion in 2019 … [Read more...]
Demystifying Machine Learning: Why Transparency Will Lead to Trust
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...]