Machine learning (ML) tools are a subset of artificial intelligence (AI) that use mathematical models to recognize patterns between input and output, and often subsequently make predictions based on ...

Vilcek Institute of Graduate Biomedical Sciences’ PhD program in Computational Biology and Bioinfomatics focuses on ...

Bioinformatics and computational biology represent inter‐related disciplines that harness computational methods, statistical models and algorithmic innovations to decode, organise and interpret ...

Spinal cord injury (SCI) remains a major unmet medical challenge, often resulting in permanent paralysis and disability with no effective treatments. Now, researchers at University of California San ...

A research team has delivered an overview of how computational tools are reshaping the design of nonnatural metabolic pathways—engineered biochemical routes that do not exist in nature but enable ...

In this 'year in review', Senior Editor Tristan Free highlights emerging trends on BioTechniques and our top content from ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough.

The global synthetic biology and biomanufacturing market is poised for exceptional growth by 2036, driven by the adoption of sustainable bio-based production methods across industries. Key ...

A mathematical thermodynamic model for gene regulation (top, left) is formulated as an artificial neural network (ANN) (bottom, left). Large DNA datasets are fed through the new ANN (right). The ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...