Researchers in Japan have developed a machine learning process that simultaneously designs new molecules and suggests the chemical reactions to make them.
The pursuit of complex models that produce more accurate predictions may not deliver, because more complicated models tend to produce more uncertain estimates.
A powerful mathematical modelling tool will allow scientists to predict the properties of polymer networks before they are even created.
The approach could significantly improve the ongoing challenge of developing drugs that combat resistant cancers, as well as resistant bacterial and viral infections.
Stanford scientists have developed an algorithm, called Phrank, that automates the most labour-intensive part of genetic diagnosis.
Researchers have developed an energy-based mathematical modelling technique to build models of the complex biochemical systems within the human body.
Mathematicians at the University of Adelaide have devised a method for identifying how cell clusters have formed by analysing an image of the cluster.
Just in time for the Ashes test cricket series this week, two Australian physicists have presented equations highlighting the trajectory of a spinning ball as it moves through the air in the presence of wind.
For the last 10 years, theoretical physicists have shown that the intense connections generated between particles as established in the quantum law of ‘entanglement’ may hold the key to eventual teleportation of quantum information. Now, for the first time, researchers have worked out how entanglement could be ‘recycled’ to increase the efficiency of these connections.
By studying the exact synaptic conditions required in memory formation, researchers hope to develop models which will aid in the construction of artificial cognitive computers in the future.
New super-fast, high-performance computing (HPC) being installed by La Trobe University, RMIT University and Victorian Partnership for Advanced Computing (VPAC) will revolutionise the computational modelling and simulation technologies available to researchers.
University of Adelaide applied mathematicians have extended Einstein’s theory of special relativity to work beyond the speed of light.
MathWorks has introduced Release 2012b with major updates to Matlab and Simulink that significantly improve use and navigation.
A new model which reveals how the immune system functions under conditions of neutropenia may lead to safer chemotherapy and also bring us closer to the holy grail of personalised medicine.
Modelling has long played a key role in the drug discovery process, from isolating drug targets to screening and pharmacokinetics. Many pharmaceutical companies are currently facing patent expirations without replacement candidates in the pipeline or are struggling with high candidate attrition. Leaner pipelines results in necessary cost decreases, which can often lead to staff reductions. These struggles underscore the need for successful modelling in pharmaceutical R&D.