This page shows the latest trial data news and features for those working in and with pharma, biotech and healthcare.
Tao added that a booster dose is being considered, with trial participants potentially set to receive a second jab around six months after their first dose. ... Tao. He said, however, that further clinical trial data is required before the exact efficacy
The EU marketing authorisation application for the S1P1 modulator is based on data from the phase 3 OPTIMUM trial, designed to evaluate the efficacy of once daily oral Ponvory versus
AZ about the initial COVID-19 vaccine trial data. ... The concerns over the US trial data for AZ’s vaccine came following a safety review from the European Medicines Agency (EMA) over reports of blood clots in people who had
Recordati Rare Disease has revealed new data from a phase 3 trial of its Cushing’s disease treatment Isturisa. ... Isturisa also met the key secondary endpoint of the LINC 4 trial, with 81% of patients having normal mUFC levels at week 36.
that it was ‘concerned’ over the initial COVID-19 vaccine trial data released yesterday. ... According to a statement from NIAID, the DSMB was concerned that AZ may have included outdated information from the trial, which could have provided an
Company is aiming to ensure its vaccine efficacy data is 'meaningful' against new virus variants. ... from our HERALD trial,” said Ulrike Gnad-Vogt, interim chief development officer of CureVac.
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These guidelines exist because, historically, some regions have had limited willingness to rely on foreign clinical data. ... Adopting these guidelines recognised procedures under which trial data gathered in one region could be used to fulfil regulatory
travel to investigative sites, as well as increased device integrations with consumer and medical data capture tools. ... Perennial encryption technology is used to protect the sensitive data being collected and shared with trial leaders.
Meanwhile, 65% of compliance, legal and regulatory professionals described their ability to access archived trial data as ‘extremely inadequate’ or ‘very inadequate’. ... Yet it seems that numerous archives of clinical trial data could be
Take a typical head-to-head study, for example. Most often, trial data is shown as a standard bar chart comparing each product on the key endpoints. ... EBCs can take a leadership role reaching HCPs in new and better ways through data visualisation.
However, the data from the Solidarity trial does not negate other study results – particularly from a trial designed with the strictest of scientific standards and rigorous data collection, as is the ... The data was peer-reviewed and published in NEJM.
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Bariş Erdoğan takes up new role at the clinical trial data firm. ... Swiss-based clinical trial data firm Clinerion has appointed Bariş Erdoğan as its new regional head in a role that focuses on the expansion of its activities in Eastern Europe, the
One of the most pressing matters for EFPIA is the seemingly inevitable trend towards transparency of trial data, and Viehbacher has already commented on the subject.
Dr Eric Green, current director of the National Human Genome Research Institue (NHGRI), is to serve as the first associate director for data science at the US National Institutes for Health ... This project offers a data repository with demographics,
According to the company, which provides services to the pharma industry, he will oversee the development of its IXRS technology to manage patients, supplies, and clinical trial data.
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proportion of male participants made it easier to get a clean sample of data with no anomalies. ... And, where they’re already represented, the industry needs to ensure trial data is analysed by sex.
As a result, life sciences companies are turning to novel methods of collecting clinical data and innovative trial design. ... To solve this challenge, life sciences companies are factoring in additional considerations when generating clinical data.
They are asking: what are the ingredients? How many people participated in a trial? ... In the meeting, they provided a transparent view of the drug development process, including why it usually takes so long to conduct a trial, how is long-term safety
Applying machine learning to drive diagnostic algorithms within healthcare data sources to identify ‘at-risk’ patients. ... Leverage real-world data to identify patients and facilitate clinical trial recruitment.
3.Using real-word data to enhance information on diverse populations beyond product approval. ... The policies should be specifically focused on enhancing diversity of clinical trial populations.
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Healthcare is evolving rapidly. To stand out from the crowd requires a potent combination of rich insight, innovative ideas and...