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BioWorld - Thursday, February 12, 2026
Home » clinical trials

Articles Tagged with ''clinical trials''

Data and social media illustration

Social media not ready for prime time as source of real-world evidence

May 4, 2021
By Mark McCarty
The FDA’s May 4 webinar on patient data generated over the course of the product life cycle covered a number of topics, including the use of social media as a source of real-world evidence (RWE). The FDA’s Anne Hammer said, however, that while social media engagement has exploded over the past couple of decades, issues such as data duplication and verifiability will have to be resolved before patient engagement via social media can be relied upon as a source of RWE for regulatory purposes.
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Lack of clinical trial diversity could have consequences

Feb. 26, 2021
By Mari Serebrov
Drug and device companies dragging their feet on diversifying late-stage clinical trials could conceivably get a wake-up call in court or in FDA approval delays.
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Lack of clinical trial diversity could have consequences

Feb. 25, 2021
By Mari Serebrov
Drug and device companies dragging their feet on diversifying late-stage clinical trials could conceivably get a wake-up call in court or in FDA approval delays. A final guidance the FDA released in November suggests that the days of ignoring segments of the intended treatment population until safety signals flare in real-world use are coming to an end.
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Trial diversity takes the guesswork out of treating excluded patients

Feb. 18, 2021
By Mari Serebrov
The U.S. NIH’s Feb. 17 announcement that it’s funding a study of the effects of remdesivir in treating COVID-19 in pregnant women is welcome news, but it begs the question of why it took so long given the risk of more severe disease in that population.
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2021 BIO CEO & Investor Conference

Machine learning IDs indication, modality, biomarkers as top predictors of clinical success

Feb. 17, 2021
By Jennifer Boggs
Investing in biopharma has never been for the faint of heart. So headline figures unveiled from a clinical development success report during the BIO CEO & Investor Conference Feb. 17, putting the average likelihood of a drug entering phase I development ultimately achieving approval at 7.9% and the average drug development timeline at 10.5 years, appear largely unsurprising. But the addition of machine learning capabilities to the mix helped identify those factors that have the greatest impact on predictive outcome.
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Pregnancy

COVID-19 legacy one of access, broader clinical trials

Feb. 17, 2021
By Mari Serebrov
Aside from its place in the history books as a global pandemic that nearly locked down the world, COVID-19 could have a lasting, more positive legacy of finally opening U.S. biopharmaceutical clinical trials to greater diversity.
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Drug data missing in action for pregnant patients

Feb. 3, 2021
By Mari Serebrov
The numbers are staggering when it comes to the potential drug risks pregnant and breastfeeding women, as well as their babies, are exposed to and the treatments they may be denied because of the lack of data.
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Head filled with digital data

Phar-East 2020 virtual conference looks at tech and transformation

Dec. 15, 2020
By David Ho
New approaches to trials, digitalization and the effective use of technologies like artificial intelligence are reshaping how clinical trials are conducted, drugs are discovered, and devices are developed.
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Head filled with digital data

Phar-East 2020 virtual conference looks at tech and transformation

Dec. 9, 2020
By David Ho
HONG KONG – New approaches to trials, digitalization and the effective use of advance technologies like artificial intelligence are reshaping how clinical trials are conducted, drugs are discovered, and new devices are developed, said participants at the Asia-focused Phar-East 2020 conference on Dec. 8.
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Cyber eye illustration

Retinai partners with Novartis for use of AI in ophthalmology trials

Dec. 8, 2020
By Nuala Moran
LONDON – Retinai Medicine AG reported a three-year master agreement with Novartis AG to apply its artificial intelligence (AI) tools in ophthalmology clinical trials. The first project will look at how machine learning can be used to speed up and improve the interpretation of optical coherence tomography (OCT) images of patients with neovascular age-related macular degeneration (AMD).
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