Holistic health expert and bestselling author Deepak Chopra shares a message of hope as his latest book, "Quantum Body," is published: "We have a common identity. Bestselling author and entrepreneur Deepak Chopra may be known the world over as a holistic health and wellness guru -- he's counseled scores of people to lead better, calmer and healthier lives over the decades -- but he also has a lighter side. In an on-camera interview this week just as his new book, "Optimum Body: The New Science of Living a Longer, Healthier, More Vital Life," was published, Chopra poked a little fun at himself when asked how he takes care of personal well-being. "Well, my family doesn't take me seriously, and that's good," he said. "And so," he said, "I don't take myself seriously." Chopra went on about how he personally stays healthy. "I sleep well," he said. And my only purpose is to serve the world. I don't have any personal ambition. And that means no stress, either."

Science and medicine are becoming increasingly digital. Analyzing the resulting volumes of information -- known as "big data" -- is considered a key to better treatment options. "Medical research data are a treasure. They can play a decisive role in developing personalized therapies that are tailored to each individual more precisely than conventional treatments," said Joachim Schultze, Director of Systems Medicine at the DZNE and professor at the Life & Medical Sciences Institute (LIMES) at the University of Bonn. "It's critical for science to be able to use such data as comprehensively and from as many sources as possible."

Artificial intelligence is a much-discussed topic in medicine, especially in the field of diagnostics. "We aimed to investigate the potential on the basis of a specific example," explains Prof. Joachim Schultze, a research group leader at the DZNE and head of the Department for Genomics and Immunoregulation at the LIMES Institute of the University of Bonn. "Because this requires large amounts of data, we evaluated data on the gene activity of blood cells. Numerous studies have been carried out on this topic and the results are available through databases. Thus, there is an enormous data pool. We have collected virtually everything that is currently available."

Washington: Tracking down acute myeloid leukaemia (AML), researchers have proved that artificial intelligence can detect forms of blood cancer. The study was conducted by the researchers of the German Center for Neurodegenerative Diseases (DZNE) and was published in the recent edition of the iScience journal. The approach used by researchers revolved around the gene activity analysis of cells that are present in the blood. This approach could support conventional diagnostics and accelerate therapy of the disease. "Some studies have been carried out on this topic and the results are available through. Thus, there is an enormous data pool. We have collected virtually everything that is currently available," said Professor Joachim Schultze who led the group of researchers of the study.

In the largest metastudy to date on acute myeloid leukemia, German researchers contend that they have demonstrated that artificial intelligence can detect this common and deadly form of blood cancer. Results of their proof-of-concept study, published in the journal iScience, are based on the analysis of the gene activity of cells found in blood using 12,029 samples from 105 different studies. "Our results support the notion that transcriptomics combined with machine learning could be used as part of an integrated -omics approach where risk prediction, differential diagnosis and subclassification of AML is achieved by genomics while diagnosis could be assisted by transcriptomic-based machine learning," state the study's authors. "The transcriptome holds important information about the condition of cells," says Joachim Schultze, a research group leader at the DZNE and head of the Department for Genomics and Immunoregulation at the LIMES Institute of the University of Bonn. "However, classical diagnostics is based on different data. We therefore wanted to find out what an analysis of the transcriptome can achieve using artificial intelligence--that is to say trainable algorithms."

Artificial intelligence is a much-discussed topic in medicine, especially in the field of diagnostics. "We aimed to investigate the potential on the basis of a specific example," explains Prof. Joachim Schultze, a research group leader at the DZNE and head of the Department for Genomics and Immunoregulation at the LIMES Institute of the University of Bonn. "Because this requires large amounts of data, we evaluated data on the gene activity of blood cells. Numerous studies have been carried out on this topic and the results are available through databases. Thus, there is an enormous data pool. We have collected virtually everything that is currently available."

Artificial Intelligence can help detect one of the most common forms of blood cancer - acute myeloid leukaemia (AML) - with high reliability, new research has found. Their approach, based on the analysis of the gene activity of cells found in the blood, could support conventional diagnostics and possibly accelerate the beginning of therapy, said the study published in the journal iScience. In the early stages the symptoms of AML can resemble those of a bad cold. However, AML is a life-threatening disease that should be treated as quickly as possible. "With a blood test, as it seems possible on the basis of our study, it is conceivable that the family doctor would already clarify a suspicion of AML," said Joachim Schultze, a research group leader at the German Center for Neurodegenerative Diseases (DZNE).

Artificial intelligence can detect one of the most common forms of blood cancer - acute myeloid leukemia (AML) - with high reliability. Researchers at the German Center for Neurodegenerative Diseases (DZNE) and the University of Bonn have now shown this in a proof-of-concept study. Their approach is based on the analysis of the gene activity of cells found in the blood. Used in practice, this approach could support conventional diagnostics and possibly accelerate the beginning of therapy. The research results have been published in the journal "iScience".

Our memories leave a clear and unique genetic mark on our brains. That's the remarkable discovery of scientists in Israel who say these genetic markers could be used to unlock memories after people die. The technology opens the door to strange scenarios, similar to those portrayed in the series'Black Mirror', where investigators can record and playback the memories of suspected criminals. It could even lead to a future in which police are able to read and replay memories of murder victims to help them piece together the events leading up to their death. Our memories leave a clear and unique genetic mark on our brains.