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 understandably suspicious about the value of ML ...

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 ...

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 development and implementation of ...

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 healthcare data is ...

As healthcare marketers strive to keep pace with data technologies for better targeting and conversion, budgeting for 2019 becomes a formidable challenge. Questions about competitive advantages and cost-effectiveness drive conversations. Yet, the focus of forward-thinkers is shifting to better data for targeting faster and sooner in the engagement lifecycle. “We are seeing a dramatic increase in ...

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