In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and ...

Serious Games for Serious Pain: Development and Initial Testing of a Cognitive Behavioral Therapy Game for Patients With Advanced Cancer Pain Longitudinal patient tolerability data collected as part ...

This collaboration enhances QT Imaging's Cloud SaaS Platform by integrating Olea Medical's advanced visualization, quantitative analytics and AI-ready imaging technologies to support clinical ...

The life science industry has been warming up to the use of health IT and digital health tools to improve clinical trials. Remote monitoring, adherence tools and ways to make clinical trial design ...

Dermatology in the near future will be characterized by digitally enabled, patient-centred research that reaches people where ...

Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy Endocrine treatments for patients with hormone-sensitive ...

HealthDay News — Compared with manual screening, an artificial intelligence (AI)-assisted patient screening tool can improve the rate of eligibility determination and enrollment for randomized ...

Researchers from the National Institutes of Health are using large language models to develop an artificial intelligence framework to streamline the clinical trial matching process and more quickly ...

Over the past few years, we’ve seen a wave of digital innovation in clinical trials: decentralized models, eConsent, real-time monitoring and direct-to-patient logistics. We’ve digitized nearly every ...