Opinion
A Future Beyond Animal Testing: Why ORIVA Matters and How Computational Models Bridge the Gap
Animal testing is costly, slow, and poorly predictive. ORIVA offers a human-relevant alternative with the potential to change that.
Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...
The field of plant systems and synthetic biology is being revolutionized by transformative advances in computational biology, ...
Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...
The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold ...
Building on the company's validated enzymatic process for green ibuprofen synthesis, the expanded program leverages Quantumzyme's enzyme families, machine learning predictive models, and in silico ...
Researchers used computational modeling to uncover mutations in the human genome that likely influenced the evolution of human cognition. This groundbreaking research in human genomics could lead to a ...
Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...
A network is a mathematical model used to represent relationships through connections, and this framework can be used to represent many real-world systems, such as the brain. There are multiple ways ...
Viscous fingering occurs when a thinner fluid pushes a thicker, more viscous fluid in a porous medium, like underground rock, ...
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