Rethinking Clinical Trials

AUGUST 23, 2022

Three key themes emerged from the Think Tank discussion: build partnerships with participants and communities; improve accessibility of clinical trials; improve representation among clinical investigators. We have seen that having a higher proportion of women authors resulted in a higher proportion of women enrolled per trial. Learn more.

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Rethinking Clinical Trials

AUGUST 3, 2023

10-20% of the time the claim is not a fair representation of what is being cited. Tags #pctGR, @Collaboratory1 The post Grand Rounds July 28, 2023: How Can Researchers Fight Misinformation About Medicine? One step journals can take is checking to see if cited papers have been retracted. We need to find a way to tackle this.

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Rethinking Clinical Trials

OCTOBER 27, 2022

There should be no aggregation without representation. It was started when Andrea discovered a vulnerability in Facebook’s group platform that allowed data to be scraped outside of the group. Patients often turn to social media to find support and knowledge from peers due to the network effects of the platforms. pctGR, @Collaboratory1.

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Rethinking Clinical Trials

AUGUST 18, 2022

Learn more: Improving Representation in Clinical Trials and Research. Social factors are often driving health outcomes not other factors. Coursera course: Faster Together, Enhancing the Recruitment of Minorities in Clinical Trials. Passitonstudy.org/results. New Ideas study. pctGR, @Collaboratory1.

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Rethinking Clinical Trials

JULY 19, 2023

Key study limitations were the need for remote delivery due to the COVID-19 pandemic and the lack of total representation of the broader U.S. Tags #pctGR, @Collaboratory1 The post Grand Rounds July 14, 2023: Lessons From the COORDINATE-Diabetes Trial (Christopher B. or international population across the selected sites and patients.

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Drug Discovery World

FEBRUARY 9, 2023

It also carries a much higher price tag for failure. Effectively, we can more accurately test any given molecule against a more real-world representation of a disease. While the industry has drawn criticism for lagging in this area, developing new pharmaceuticals carry much higher risks than new product development in other industries.

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Drug Discovery World

NOVEMBER 13, 2023

Brajesh Rai, PhD, Senior Director, Machine Learning Computational Sciences, Pfizer, on: ‘Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation’. Opher Gileadi, PhD, Head, Protein Science SGC, Karolinska Institute, on: ‘Targeting every human protein: Challenges and prospects’.

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