The development of cancer drugs is a costly, expensive, time-consuming process that has a high probability rate of failure. On average, it takes 24 to 48 months to find a suitable candidate and costs upwards of $100 million. And in the end, roughly 95% of all potential drugs fail in clinical trials. Because of this, scientists are understandably looking for a way to speed up the discovery process.
That’s where the anti-cancer drug known as BPM 31510 comes in play. Unlike most pharmaceuticals, it was developed by artificial intelligence instead of a group of researchers toiling away in a lab. Created by biotech company Berg (named after real estate billionaire Carl Berg) the company seeks to use artificial intelligence to design cancer drugs that are cheaper, have fewer side effects, and can be developed in half the time it normally takes.
Towards this end, they are looking to data-driven methods of drug discovery. Instead of generating cancer drugs based on chemical compounds identified in labs, the company compares tissue, urine, and blood samples from cancer patients and healthy patients, generating tens of trillions of data points that are fed into an artificial intelligence system. That system crunches all the data, looking for problems.
BPM 31510, which is the first of Berg’s drugs to get a real-world test, focuses on mitochondria – a framework within cells that’s responsible for programmed cell death. Normally, mitochondria triggers damaged cells to die. When cancer strikes, this process goes haywire, and the damaged cells spread. Berg’s drug, if successful, will be able to restore normal cell death processes by changing the metabolic environment within mitochondria.
Speaking on the subject of the drug, which is now in human-clinical trials, Berg president and co-founder Niven Narain said:
BPM 31510 works by switching the fuel that cancer likes to operate on. Cancer cells prefer to operate in a less energy-efficient manner. Cancers with a high metabolic function, like triple negative breast cancer
, glioblastoma, and colon cancer–that’s the sweet spot for this technology.
IBM is also leveraging artificial intelligence in the race to design better cancer treatments. In their case, this involves their much-heralded supercomputer Watson looking for better treatment options for patients. In a trial conducted with the New York Genome Center, Watson has been scanning mutations found in brain cancer patients, matching them with available treatments.
All of these efforts are still in early days, and even on its accelerated timeline, BPM 31510 is still years away from winning an FDA approval. But, as Narain points out, the current drug discovery system desperately needs rethinking. With a success rate of 1 out of 20, their is definitely room for improvement. And a process that seeks to address cancer in a way that is more targeted, and more personalized is certainly in keeping with the most modern approaches to medicine.
Source: fastcoexist.com
, glioblastoma, and colon cancer–that’s the sweet spot for this technology.




As Sydney Rooney, the student team leader of the John Hopkins research team, said in an interview with Gizmag:

However, some recent findings from the John Hopkins School of Medicine may have settled the debate. Led by Dr. Zachary Kaminsky, a John Hopkins research team came to the conclusion that suicidal tendencies can largely be traced to a genetic mutation in those people who are more likely to commit suicide. What’s more, this mutation can be detected with a simple blood test.
This gene plays a part in the brain’s handling of stress hormones. If it isn’t functioning properly or lacking, stressful situations that would ordinarily be bearable can drive a person to contemplate or even attempt killing themselves. It was also found that the mutation not only reduced the levels of the gene, but also added chemicals called methyl groups to the SKA2 that was present.

At the closing ceremony of the AIDS 2014 conference a few weeks ago in Melbourne, Australia, many of the speakers – including longtime AIDS researcher and International AIDS Society Presidential Award winner Eric Goosby – told of how utterly terrifying the disease seemed 30 years ago. And while that fear is not gone, it has since diminished, replaced by and large with a sense of hope that the disease will be eradicated.
However, researchers from Temple University School of Medicine have found a way to cut the infected genes out, potentially eradicating the virus for good and negating the need for lifelong ARV treatment. The technique uses a DNA-snipping enzyme, a nuclease, and a targeting RNA strand to hunt down the genome and cuts the HIV-1 DNA from it. The cell is able to repair its own genomes, essentially sewing itself together again, only now HIV-free.







The next step is to figure out why the body responds to a bone marrow transplant in a way that makes the virus retreat. One possible explanation is that the body’s immune response to the foreign cells of the transplant causes it to fight harder against HIV. This is because, while bone marrow transplant seems to be the most effective means of clearing the AIDS virus to date, it is not an acceptable risk for patients whose lives aren’t already endangered by bone cancer.

At the time of the initial announcement in January, Google said its prototypes were able to take one glucose reading per second and that they was investigating ways for the device to act as an early warning system for the wearer should glucose levels become abnormal. All that was needed was a partner with the infrastructure and experience in the medical industry to see the prototypes put into production.



In addition, Bertassoni claims that the ultimate aim of the research is for patients to be able to walk into a hospital and have a full organ printed with all the cells, proteins and blood vessels in the right place: