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Monthly Archives: August 2017

Home / 2017 / August

Limitations of use of machine learning/deep learning in drug development

Many branches of the industry are joining the hype around using deep neural networks or complex machine learning approaches, eg gradient boosting machines, random forests. However, I am sceptical that these “black box” algorithms will make major contributions to  drug development, since the problems in clinical trials seems conceptually different from, eg image or speech…

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2017-08-08wiligldont know

Modelling of coping strategies as a missed opportunity in drug development

In randomized controlled clinical trials, the confounding of the treatment with other factors (sex, age, other patient characteristics) at baseline is of crucial importance as well as maintaining the integrity of the treatment during the trial. However, an important uncontrolled factor violating the integrity of the treatment is patient behaviour, especially in response to his…

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2017-08-08wiligldont know

Psychoneuroimmunoloy as a missed opportunity in immuno-oncology drug development

Immuno-oncology drugs stimulate the immune-system of the patient to fight cancer cells. These effects might be enhanced by using Pawlowing conditioning of external stimuli to the drug. For example, Pawlow demonstrated that by exposing dogs (cf patients) to the ringing of a bell  (eg white coat of clinician) during feeding time, the unconditioned reaction of…

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2017-08-08wiligldont know

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