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Biogen: This train wreck was due

World of DTC Marketing

When George Scangos resigned in 2016, he must have known that the future was bleak. The MS community, which is very active on social media, complained about the side effects of Biogen’s drug while praising new competitors’ drugs. The post <b>Biogen:</b> This train wreck was due.

Training 231
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How can evidence-based medicine (EBM) methodology support drug withdrawals?

European Pharmaceutical Review

Monitoring and studying the side effects of licensed medicines is an essential part of drug development to ensure public safety. This is usually on a much larger scale than is possible in clinical trials and can uncover less common side effects. Supporting regulators. Study focus. almitrine – a respiratory stimulant.

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Understanding the evidence used in drug product withdrawals

European Pharmaceutical Review

Our research showed that in Europe between 1999 and 2016, 35 products were withdrawn. She has a background in Biomedical Science and has trained in Epidemiology, gaining an MSc from The London School of Hygiene & Tropical Medicine (LSHTM), and holds a PgD in Pharmacovigilance. Meta-analyses contributed least frequently (31.4

Medicine 116
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Digital Self-Neuromodulation Therapy for PTSD: Interview with Oded Kraft, CEO of GrayMatters Health

Medgadget

These treatments at times come with a long list of side effects, leaving many patients in search of an effective long-term solution. For some patients with PTSD, psychotherapy may not be an effective option, they may find talking about their traumatic experience stress inducing, untherapeutic or ineffective.

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Developing the EU’s first intestinal microbiota-based biologic

European Pharmaceutical Review

The specific representation of these events differed between the treatments, highlighting potential differences in side effect profiles that should be explored in further studies. 2016; 46: 479–93. Adverse events were relatively low in both groups (2.22 percent for MBK-01 and 4.26 percent for fidaxomicin). Intern Med J.

Safety 111
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Aiming for ‘Magic Bullets’ in Medicine: Are We Shooting Ourselves in the Foot?

Clarivate

A ‘magic bullet’ medicine that can cure a disease quickly and completely, [1] without deleterious side effects. [2] 6] As many pathogenetic targets have multiple physiological functions, highly specific ‘magic bullets’ may impact multiple cellular pathways simultaneously, causing unintended side effects.7 Chin J Cancer.

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The case for AI and machine learning in life sciences

Pharmaceutical Technology

The AI industry relies heavily on this data to train machine learning (ML) models. Generative AI models are trained on large datasets of multilingual text to learn how to translate between languages and these models are then used to translate text. This same ecosystem can also be used to help manage the clinical trial itself.