A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Pavan Subramani started doing molecular dynamics simulations for computational drug discovery alongside his high school coursework, sparking an interest in a STEM career.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Tools that standardize and automate experimental data collection are needed for greater confidence in research results. The National Synchrotron Light Source-II (NSLS-II) has generated an ...

What is this book about? Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide ...

Abstract: Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built around the ...

Advancements in drug manufacturing technologies are reshaping global regulatory frameworks. This shift is largely driven by the integration of artificial intelligence (AI)-powered models, cloud-based ...

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Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...