WOLFRAM

News, Views & Insights

Wolfram Language

Products

From MRI to Model: In Silico Medicine with Wolfram Language

In silico medicine, particularly through the use of finite element simulations, is revolutionizing patient-specific healthcare, especially in the musculoskeletal system. By creating detailed computational models of individual anatomy, finite element analysis enables precise simulation of biomechanical behavior under various conditions. This approach allows for personalized treatment strategies, offering predictive insights into how specific interventions—such as surgeries, prosthetics or rehabilitation plans—might affect the patient’s musculoskeletal health. Unlike traditional experiments such as in vivo or in vitro, in silico medicine refers to simulations where the experimental environment is recreated within the processor.
Alessandro Mastrofini, Bioengineering Application Developer Intern, Algorithms R&D
Computation & Analysis

How Long to Boil an Egg? FEM Modeling with Wolfram Language

It’s time to answer the question on any breakfast-lover’s mind: “How long do I boil an egg?” While it seems so simple—place an egg in boiling water and wait—it would be remiss to say a fully hard-boiled egg is the only way to enjoy a delightful protein boost. We can use the finite element method (FEM) to simulate the conditions of an egg in water and find the ideal temperature and duration for the perfect egg by assessing temperature changes within the egg itself. We can then predict how long it takes to reach various consistencies, such as a runny yolk or a crumbly, fully set yolk.

Ricardo López, et al.
Education & Academic

Four Ways to Use Wolfram Notebook Assistant This Semester

If you’ve just been handed a syllabus with “Wolfram” or “Mathematica” listed in your materials this semester, it may feel a little daunting to learn a new language and environment. But have no fear! Whether you’re solving integrals, running simulations or just trying to finish your assignment before midnight, Wolfram Notebook Assistant is built for your success. Designed to help you focus on ideas instead of syntax, it’s like having a built-in tutor, editor and coding partner—all in one.
Bailey Long, Technical Communications Specialist, Outreach & Communications
Computation & Analysis

Analyzing Semaglutide’s Biochemistry with Wolfram Language

Semaglutide is the active ingredient in a couple of popular anti-obesity medications. It is a glucagon-like peptide-1 (GLP-1) receptor agonist that mimics the action of our naturally occurring GLP-1 hormone. Semaglutide is 94% similar in structure to our natural GLP-1 hormone, and it works similarly to lower blood glucose and regulate appetite.

Gay Wilson, Food Data Curator, Wolfram|Alpha Scientific Content Soutick Saha, Bioinformatics Developer, Natural Sciences & Engineering
Current Events & History

What’s Up with Daylight Saving Time? A Brief History and Analysis with Wolfram Language

In the next few days, most people in the United States, Canada, Cuba, Haiti and some parts of Mexico will be transitioning from “standard” (or winter) time to “daylight” (or summer) time. This semiannual tradition has been the source of desynchronized alarm clocks, missed appointments and headaches for parents trying to get kids to bed at the right time since 1908, but why exactly do we fiddle with the clocks two times a year?

Nick Lariviere, Kernel Developer, Algorithms R&D
Education & Academic

A Whole New Ball Game: Game Theory in Wolfram Language 14.2

Do you want to make optimal decisions against competition? Do you want to analyze competitive contexts and predict outcomes of competitive events? Do you need to elaborate strategies and plans against adversity and test the effectiveness of those strategies? Or are you simply an undergraduate student struggling to cope with a required course on game theory at your college?
Marc Vicuna, Kernel Developer, Algorithms R&D
Computation & Analysis

Nobel Prize–Inspired de novo Protein Design with Wolfram Language

When I read a recent New York Times article on AI, I didn’t think I would be following the footsteps of a Nobel laureate, but I soon discovered that I could do just that with Wolfram Language. The Nobel Prize in Chemistry for 2024 was awarded for computational protein design and protein structure prediction, which have been active areas of research for several decades. The early work was built upon a foundation of physics and chemistry, attempting to model the folding of the chain of amino acid residues comprising a protein into a three-dimensional structure using conformational analysis and energetics. More recently, AI methods have been brought to bear on the problem, making use of deep neural networks (DNNs) and large language models (LLMs) such as trRosetta, AlphaFold and ESMFold. The work of David Baker, one of the laureates, was recently showcased in a New York Times article.
Robert Nachbar, Senior Project Director, Wolfram Solutions
Show More