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Following the success of Issue 3 , which focused on the critical importance of patient diversity in clinicalresearch, Xtalks is thrilled to announce Xtalks Clinical Edge Issue 4. These prominent leaders will share their experiences, strategies and visions about whats next for clinicalresearch.
Opportunities are growing for real-world evidence research as the technology matures and a pioneering new partnership between Savana, utilising its AI-driven clinicalresearch methodology, and BREATHE aims to drive innovative research using this new way of working. The benefits of RWE. About BREATHE.
If you hadn’t already noticed, the clinicalresearch enterprise has well and truly entered the era of “bigdata,” artificial intelligence (AI), and machine learning. It also includes search and support services that help patients understand, find, and enroll in clinical trials.”
Countries like Estonia and Finland have taken on a completely digitised approach to their health services , integrating EHR data to efficiently prescribe medications and improve treatment strategies. Darwin EU is also contextualising the analysis of EHR data for the management of disasters, health threats, and in policy-making.
Landry is a professor of medicine and epidemiology at Oxford Population Health and deputy director of the University of Oxford’s BigData Institute. ElZarrad is the director of the Office of Medical Policy in the FDA’s Center for Drug Evaluation and Research.
Just in time to help recognize Pride Month , ACRP’s ClinicalResearcher journal is pleased to share the first details from the lead peer-reviewed article on “Improving Cardiovascular Research for Transgender and Gender Diverse Populations” from a trio of WCG IRB expert contributors to the new issue going online today (June 13).
Alphabet subsidiary and precision health company Verily recently announced a breakthrough in its AI drug discovery GPCR research collaboration with Sosei Heptares. The companies hope that in the year to come those data targets will be entered for validation, hit generation, and lead selection. What, then, is the solution?
Just in time to help recognize Pride Month , ACRP’s ClinicalResearcher journal is pleased to share the first details from the lead peer-reviewed article on “Improving Cardiovascular Research for Transgender and Gender Diverse Populations” from a trio of WCG IRB expert contributors to the new issue going online today (June 13).
Just in time to help recognize Pride Month , ACRP’s ClinicalResearcher journal is pleased to share the first details from the lead peer-reviewed article on “Improving Cardiovascular Research for Transgender and Gender Diverse Populations” from a trio of WCG IRB expert contributors to the new issue going online today (June 13).
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 clinicalresearch’. About the panel.
AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This will also allow companies to utilize advanced computational models to find better treatments more quickly while also reducing costs associated with drug development.
The big headline out of the health care M&A world today is Swiss pharmaceutical giant Roche’s $1.9 billion acquisition of Flatiron Health, the Alphabet-backed, cancer-focused digital health analytics upstart that’s attempting to use real world patient information and bigdata to spur better oncology R&D.
The big headline out of the health care M&A world today is Swiss pharmaceutical giant Roche’s $1.9 billion acquisition of Flatiron Health, the Alphabet-backed, cancer-focused digital health analytics upstart that’s attempting to use real world patient information and bigdata to spur better oncology R&D.
HEPAprint – Adverse Drug Reaction (ADR). Clinical trials play a pivotal role in drug development. Understanding the possible scenarios relating to drug safety with the help of technology proves beneficial for all stakeholders. British startup HEPAprint develops predictive software to prevent adverse drug reactions.
The Wall Street Journal has an interesting article on the use of “BigData” to identify and solicit potential clinical trial participants. The premise is that large consumer data aggregators like Experian can target patients with certain diseases through correlations with non-health behavior.
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.
In order to gain marketing approval from regulatory authorities for a novel therapeutic intervention, highly accurate and elaborate clinical trial data is required to validate the drug’s safety and effectiveness towards a specific target indication. Researchers collect data from people and compare changes throughout time.
We are all aware that the process between patient identification and enrollment is significantly inefficient and ineffective, especially for those patients that are currently not getting treatment in research-oriented sites.
Although approach differs slightly amongst organizations in clinicalresearch, everyone agrees on this: it’s time for the industry to become more agile. Too many life-saving treatments and medical advancements are at stake to remain attached to the traditional ways of data collection.
International deep real-world evidence company Savana is on a mission to give health researchers the power to unlock the clinical value embedded within electronic health records (EHRs) using artificial intelligence (AI) and clinical Natural Language Processing (NLP) techniques.
This is a relatively new model of clinical trials in terms of adoption and is, therefore, the highly underutilized method of conducting clinicalresearch. This prompt data entry facility reduces any chance of data loss or the need to remember every minuscule information by patients.
There has never been a time when rapid, low burden access to patient-level data, at scale, was more urgent.
rows of data. Syntegra has also engaged with the Federal Drug Administration (FDA) to evaluate the role of synthetic data in regulatory decisions, for COVID-19 and beyond.
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