Big Data Clinical Research Life Science 
AuroBlog - Aurous Healthcare Clinical Trials blog
AUGUST 1, 2024
The Indian life sciences sector is making strides by integrating quantum computing, artificial intelligence (AI), machine learning (ML), advanced analytics, big data, internet of things (IoT) and blockchain into their research and development efforts.
pharmaphorum
MAY 25, 2021
The webinar explored the potential of the technology to process the vast amount of data languishing untapped in EHRs, while ensuring that patient data privacy and safety is maintained at all times. BREATHE’s Jenni Quint said that the power is not just in information from wearables but the ability to link them with other data.
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ACRP blog
APRIL 5, 2023
AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This has led to the emergence of a new ‘pharmaceutical intelligence’ that has allowed the industry to move away from traditional, slow-moving, and costly processes,” Lyons writes. “AI
pharmaphorum
FEBRUARY 1, 2022
Attendees will learn more about how an SCA was used at the design and execution phases in a recent study of new treatments for relapsed or refractory diffuse large B-cell lymphoma (R/R DLBCL) and will also receive an eBook ‘How to harness the potential of AI and real-world data for clinical research’. About the panel.
Crucial Data Soutions
NOVEMBER 9, 2021
The ability to activate alerts when a participant submits an eCRF lets researchers collect data in near real-time and begin managing and analyzing the data as it comes in. Greater data security. With this, we can elevate and simplify the clinical trial experience for research professionals and participants.
XTalks
MAY 9, 2024
As we explore Genmab’s strategic vision, technological advancements and the next frontier in antibody research, we gain insights into the future of medicine — a future where Genmab’s cutting-edge therapies are poised to transform patient care and meet the complex challenges of the next generation of healthcare.
pharmaphorum
JULY 4, 2022
“We need networks of healthcare providers that can share that data, but we also need methods and tools to recruit patients for that research.”. Her research area is the secondary use of observational data of patients with rare and unclear diseases; with attention to the research data infrastructure and terminologies.
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