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Clinical research is about trial and error

pharmaphorum

Clinical research involves trial and error as part of the drug development process. Learn more about how to optimise drug trials and the important role of participants in clinical research.

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CytoDyn scores $12M in legal battle win: A huge breakthrough for its antibody drug trials

BioPharma Reporter

Amid a period of clinical holds and legal tangles, the US antibody specialist CytoDyn has reached a settlement to resolve legal disputes with its former contract research organization (CRO) Amarex Clinical Research.

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Phases of Clinical Research: A Detailed Overview

Advarra

Clinical trials are studies involving human volunteers to research ways to prevent, detect, and treat various medical conditions. The goal is to identify safer, more effective methods of treating illnesses using new drugs or new combinations of existing drugs.

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STAT+: Pfizer scraps half of participants in Lyme disease drug trial due to quality issues

STAT News

Pfizer and partner Valneva are scrapping data from roughly half of the participants in a Phase 3 trial of a Lyme disease vaccine candidate after uncovering quality issues with a third-party clinical trial operator. Continue to STAT+ to read the full story…

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Study coordinator pleads guilty to trial data falsification

Outsourcing Pharma

A former employee of Tellus Clinical Research in Miami has admitted to charges related to a conspiracy to falsify data on a list of clinical drug trials.

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Diversity in Clinical Trials: Tackling the Issues in Alzheimer’s Research at AAIC 2021

XTalks

Just as clinical researchers in other therapeutic areas have renewed their commitment to improving participant diversity in clinical trials, so too have those working in Alzheimer’s research. Fortunately, there are a number of researchers working on this issue.

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How using AI in clinical trials accelerates drug development

Pharmaceutical Technology

But before pharmaceutical companies can go to market with a breakthrough drug, they need to ensure safety and efficacy through clinical trials. Pharma R&D teams are solving this problem by leveraging the power of artificial intelligence (AI) in clinical trials to save time and money.