GitHub organization for the computational physiology department at Simula Research Laboratory ...

Particular focus is on developing models extending from protein function through to continuum electroconduction ... be introduced to both the principles and practice of relevant numerical methods and ...

Dynamical models of biomolecular networks are successfully used to understand the mechanisms underlying complex diseases and to design therapeutic strategies. Network control and its special case of ...

This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD ... in which an individual's unique anatomy and physiology are ...

Genome-scale metabolic models (GEMs) are comprehensive descriptions of cell metabolism and have been ... In brief, essentiality of each gene in cancer cell lines were tested using lentiviral vectors ...

Italy's Phlegraean Fields is a hotspot of volcanic activity—an ever-shifting landscape pocketed with acidic hot springs. This ...

It’s hard to cook both the white and the yolk of the egg to the right temperature. Scientists have found a new method, called periodic cooking.

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

Nerve cells have amazing strategies to save energy and still perform the most important of their tasks. Researchers from the ...

peft-sam implements several PEFT (Parameter Efficient Fine-Tuning) methods for Segment Anything Model (SAM) in the biomedical imaging domain.

As many as 40% of Americans are obese, putting them at an increased risk for high blood pressure, diabetes, stroke, heart disease and certain cancers ...

Computational chemistry describes the use of ... Here, the authors combine generative model with optimization methods to design novel and highly active alloy electrocatalysts for CO 2 ...