Specialists trying to solve the riddle of cancer and why it happens are now going at it as a group. Many researchers are now dealing with a mound of genomics data that needs sorting and an efficient means apply it to beat cancer. Increased studies about cancer are on the rise, and a deluge of data might be too overwhelming.
All the compiled data by researchers range from known cancer mutations as well as genome-based data gathering. All these studies are all good but there should be a way to sort out everything. Collating all the knowledge into a precise database so that access to the right info will help doctors and investigators.
The need for such systemized access to cancer-related studies has prompted a group of scientists to pool resources in one solution. By applying the advantages and benefits of statistical physics, and mating to AI which becomes toolkit based on math. Since AI is the perfect candidate to help sort out the libraries of data, it becomes the tool for better parsing of results.
A system like it will make the necessary guesses from a plethora of data that will predict possible cancer alterations in a cell. By tracking these numbers and how the networks of protein result will give a good guess to what happens next. Call it a computer that measures all the possible outcomes possible to combat and cure the disease. It increases the chances of a better way to deal with the disease itself more precisely.
Using statistical mechanics as applies to be used in cancer genetics which is also applied in physics is a useful tool. Going through the numbers and parsing what information can be found, then compiling everything has benefits unlike before. All the findings were produced by Laboratory of Systems Pharmacology (LSP) on November 2, by Nature Genetics.
P53 and Ras
Two genes related to cancer are P53 and Ras when it discovered from work done before. Now, the data is in volumes and samples are gathered that widens the net more to study cancer. Studies from genomics and more thrust into cancer researched might help to cure cancer and it what causes it.
Some relevant observations are passenger mutations; essentially passengers are the most common cancer mutations to look out for. Passengers' mutations are different from the driver, so a sorting process is needed to spot them. For now, both P53 and Ras are the ones examined until the final results are gleaned.
Without statistical mechanics researchers will have a hard time doing their jobs. Single molecules to bigger and macroscopic qualities like pressure and heat are only some of the the physical effects that cannot be ignored. One scientist made this as the base for checking the data in the Cancer Genome Atlas, with data that mapped out the cancerous cel, it gave a clue to whether cells were healthy or not.
Everything is just starting with scientists, all working together and gathering resources for the "Cancer Genome Atlas". Curing cancer and getting more cancers detected will hopefully be the start of its eradication and we can all live a life worry free of the big C.
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