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EyePoint sees stock surge on AMD drug trial data

Bio Pharma Dive

The biotech said Phase 2 study results showed its experimental medicine for age-related macular degeneration was "non-inferior" to Regeneron's Eylea.

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MEI, Kyowa stop lymphoma drug trials after FDA meeting

Bio Pharma Dive

The decision not to run a Phase 3 trial of their medicine is the latest fallout from U.S. regulators’ recent moves to closely evaluate a class of drugs known as PI3 kinase inhibitors.

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Small Pharma stock market launch funds DMT-based depression drug trial

pharmaphorum

UK-based Small Pharma has launched on the Toronto’s TSX Venture Exchange, raising 58 million Canadian dollars (around £34m) to develop medicines based on N,N-dimethyltriptylene (DMT) to treat depression. The goal of the trial is for proof of concept of the drug as a wrap-around therapy for Major Depressive Disorder.

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LSD biotech MindMed buys digital trial firm HealthMode

pharmaphorum

Psychedelic medicine biotech MindMed is to acquire digital medicine and therapeutics startup HealthMode for around $32.2 million, which uses artificial intelligence (AI) technology to speed up drug development. Karlin is also an Assistant Professor of Psychiatry at Tufts University School of Medicine.

Trials 134
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Review reports improved transparency in antidepressant drug trials

Scienmag

New research suggests manufacturers of newly developed antidepressant drugs have become more forthcoming about clinical trials that don’t pan out.

Trials 83
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Digital silver lining seen in failed COVID-19 drug trial

Scienmag

A clinical trial in which two test drugs failed to help patients with mild COVID-19 nevertheless had a silver lining: It proved the viability of a study model in which a medication’s potential arrhythmic side effects are safely, effectively monitored without the participants ever setting foot in a hospital or clinic.

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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. Food and Drug Administration approval.