


Two stories give us hope of real progress in understanding and treating cancer. The first from the excellent Emma Gritt of the Mail [1] concerns the work of the great Dr Mariano Barbacid whose work has been so crucial in elucidating and developing the whole theory of oncogenes and the role they play in cancer. His team has been studying the effects of three drugs on the KRAS gene, deeply implicated in the development of the pancreatic form of the disease. But: don’t read us, read Emma-she knows a lot more than we do
The second story, from the inimitable Ian Sample of the Guardian [2] concerns the application of the Google Deep Mind AI tool to study genetic drivers of cancer-and other diseases too. To quote Ian:
“We see AlphaGenome as a tool for understanding what the functional elements in the genome do, which we hope will accelerate our fundamental understanding of the code of life,” Natasha Latysheva, a DeepMind researcher, told a press briefing on the work.
Once again click!. You’ll get a lot more from Ian than you will from us.
Both stories blend into two of our old LSS favourites. Firstly, the use of AI to look at complex biological patterns which humans alone struggle to perceive. (LSS 1 12 20 et seq) Secondly, that repeatable frequencies in DNA may be tied, probabilistically, to repeatable patterns of symptoms. Veteran readers will recall our hopes that this methodology may apply to psychiatric disorders too: (LSS 18 12 25 and 29 12 25). Of course, we expect to learn of environmental and epigenetic factors as well. But if we are right, these genetic advances may provide a firmer starting point for future investigations than we have now. How much more is achieved when facts are sacrosanct, not convenient entities to be selected and disposed according to the immediate convenience of their user! A lesson which certain US politicians and the news channels which so fanatically support them would do well to learn.
#AI #deep mind #cancer #genes #DNA #medicine #health #oncogenes #psychiatric disorder #heart disease


























