Uh oh. Conferences. I’ve been trying not to think about them, but I can’t put it off any longer. That’s okay! It might not be too late to book on to the conferences you want to attend. Some will even still have early bird offers available if ...

Welcome to the future of pharmaceuticals, where the fusion of science and technology opens new horizons in healthcare. Imagine a world where the journey from the laboratory to the patient’s bedside is faster, more efficient, and more precise. This is not a glimpse into a distant future; it’s ...

Data management in the pharmaceutical industry presents unique challenges, often compounded by the sheer volume and complexity of clinical trial data. Traditional methods, particularly spreadsheet-based approaches, have long been the norm, yet they pose significant drawbacks. Interested in advancing clinical research with dynamic reports? Uncover how Shiny and Quarto can ...

Introduction Natural Language Processing (aka NLP) is a branch of Artificial Intelligence that gives robots the ability to comprehend and derive meaning from human languages.  NLP combines computer science and linguistics to break down significant details from a human speech/text. Thus, AI tools like paraphrasers can mimic human-like speech ...

Within scikit-learn, pipelines allow for the consolidation of all data preprocessing steps along with a final estimator using a single interface. The pipeline object can then be passed into a grid search routine to identify optimal hyperparameter...

Backpropagation is a key algorithm used in training fully connected neural networks, also known as feed-forward neural networks. In this algorithm, the network’s output error is propagated backward, layer by layer, to adjust the weights of conne...

Within scikit-learn, pipelines allow for the consolidation of all data preprocessing steps along with a final estimator using a single interface. The pipeline object can then be passed into a grid search routine to identify optimal hyperparamete...

Within scikit-learn, pipelines allow for the consolidation of all data preprocessing steps along with a final estimator using a single interface. The pipeline object can then be passed into a grid search routine to identify optimal hyperparamete...

Backpropagation is a key algorithm used in training fully connected neural networks, also known as feed-forward neural networks. In this algorithm, the network’s output error is propagated backward, layer by layer, to adjust the weights of conne...

Backpropagation is a key algorithm used in training fully connected neural networks, also known as feed-forward neural networks. In this algorithm, the network’s output error is propagated backward, layer by layer, to adjust the weights of connec...