In the realm of medicine, the pursuit of “truth” is a multifaceted challenge shaped by varying perspectives and biological complexities. Defining the “right answer” in medicine is therefore not a straightforward task, as it encompasses a dynamic interplay of factors that don’t always conform to conventional metrics and standard definitions. Furthermore, you can only attempt […]
In statistical analyses and machine learning models, outliers are often deemed anomalies that disrupt the pursuit of clear patterns and accurate predictions. As a consequence, they are often eliminated or replaced with more “average” values to reduce their impacts on the overall results. In the pursuit of precision, this inclination to weed out values that […]
In the field of biomedical sciences, data collection plays a pivotal role in unravelling the complexities of human health and disease. However, it is crucial to recognise that the mere act of collecting data is not enough to guarantee clinically relevant outcomes. The parameters of data collection must be thoughtfully determined to ensure that the […]
In today’s data-driven world, a robust data management strategy has become as crucial as a sound business strategy. For companies across all sectors of the economy, capitalising on data-driven insights is a defining characteristic of companies at the forefront of their markets. Nowhere is this more apparent than in the life sciences industry, where the accuracy and reproducibility of data can […]
The New Federal Act on Data Protection (nFADP) in Switzerland comes into force on September 1, 2023 and brings Switzerland’s data protection laws in line with the 2018 General Data Protection Regulation (GDPR) of the EU. The new data protection regulations improve protections for the collection, usage, and distribution of personal data in the ever-expanding […]
In the current age of data abundance, an ever-present question is how to balance data quantity with data quality, because more data does not necessarily mean more data which is of high quality. Generalising the results from data analyses is also a closely related conundrum: we might naively expect that more data should make results more generalisable. […]