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Artificial Intelligence could 'crack the language of cancer and Alzheimer's'


Powerful algorithms used by Netflix, Amazon and Facebook can'predict' the biological language of cancer and neurodegenerative diseases like Alzheimer's, scientists have found. Big data produced during decades of research was fed into a computer language model to see if artificial intelligence can make more advanced discoveries than humans. Academics based at St John's College, University of Cambridge, found the machine-learning technology could decipher the'biological language' of cancer, Alzheimer's, and other neurodegenerative diseases. Their ground-breaking study has been published in the scientific journal PNAS today and could be used in the future to'correct the grammatical mistakes inside cells that cause disease'. Professor Tuomas Knowles, lead author of the paper and a Fellow at St John's College, said: "Bringing machine-learning technology into research into neurodegenerative diseases and cancer is an absolute game-changer. Ultimately, the aim will be to use artificial intelligence to develop targeted drugs to dramatically ease symptoms or to prevent dementia happening at all."

New machine learning algorithm can help search new drugs


LONDON, Feb 12: Researchers say they have developed a machine learning algorithm for drug discovery which is twice as efficient as the industry standard, and could accelerate the process of developing new treatments for diseases such as Alzheimer's. The team led by researchers at the University of Cambridge in the UK used the algorithm to identify four new molecules that activate a protein thought to be relevant for symptoms of Alzheimer's disease and schizophrenia. A key problem in drug discovery is predicting whether a molecule will activate a particular physiological process, according to the study published in the journal PNAS. It is possible to build a statistical model by searching for chemical patterns shared among molecules known to activate that process, but the data to build these models is limited because experiments are costly and it is unclear which chemical patterns are statistically significant. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed "Machine learning has made significant progress in areas such as computer vision where data is abundant," said Alpha Lee from Cambridge's Cavendish Laboratory.