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Summary: Treatability of cancer was raised to over 80% by a new intelligent system that sifts through massive genetic datasets to pinpoint targets for cancer treatment, say these scientists. [This article first appeared on LongevityFacts. Author: Brady Hartman. ]

Scientists in Singapore have discovered a significantly improved way to treat cancer by listening to many different computer programs rather than just one.

Their new computer program reaches a consensus on how to treat a specific tumor, and it is significantly more accurate than existing predictive methods. The system isolates the Achilles heel of each individual tumor, helping doctors to choose the best treatment.

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Summary: UCSD researchers just reported that a strain of bacteria prevents skin cancer. [This article first appeared on LongevityFacts. Author: Brady Hartman. ]

The human microbiome is emerging a major player in protecting our health and researchers at the University of California San Diego (UCSD) just reported that some strains of skin bacteria safeguard against cancer.

Leading the study is Richard Gallo, MD, Ph.D., a Distinguished Professor and the chair of the Department of Dermatology at the UCSD School of Medicine, who says.

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On February 28, 1953, American molecular biologist James D. Watson and English biophysicist Francis Crick announced to friends that they succeeded to determine the chemical structure of DNA.

Already in the 19th century biochemists were able to isolate DNA and RNA from the cell nuclei mixed together. They later found out that DNA and RNA had to be distinct from each other. The nuclein was identified by Friedrich Miescher in 1869 and he later on isolated the pure DNA from a salmon’s sperm. The term ‘nucleic acid’ was then coined by Richard Altmann and it was only found in the chromosomes. The Lithuanian-American biochemist Phoebus Levene at Rockefeller Institute made further achievements concerning the DNA’s structure, showing that its components, the sugar and phosphate chain were linked in the order phosphate-sugar-base. Each of these was named nucleotide and the scientist assumed that the DNA molecule consisted of a string of nucleotide units, which were linked together through phosphate groups.

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Thousands of years ago, oracles read the future through divine inspiration. Today, we’ve still got Oracle making predictions (along with many other forward-thinking tech firms), but it uses something a little more grounded. Artificial intelligence and its capacity to assess approaching events are pretty awe-inspiring even without the supernatural flair.

Many industries are looking to artificially intelligent software to help make predictions on everything from a customer’s buying decisions to which medical treatments will be most effective for a sick patient. Though we live in a world that still depends on the educated guesses of experts, it is becoming increasingly clear that next generation of prognosticators will be more silicon-based than carbon-based.

AI is a prediction technology at its very essence. With the ability to evaluate data exponentially faster than any person, machine learning programs can assess patterns, make connections, and test hypotheses in less time than it takes their human equivalent to pour a cup of coffee. Thanks to its advanced capabilities, AI’s predictions are already taking shape, with strong implications for retail, health care, and the way we understand the world around us.

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BioViva is a platform to expedite the development of drugs and treatments that affect human healthspan. To achieve this goal BioViva has developed a comprehensive set of biomarkers of aging, which include molecular, physiological, anatomical, clinical, and qualitative markers. BioViva also collaborates with clinicians, biomedical scientists, and statisticians to develop innovative protocols for adaptive clinical trials for gene and cells therapies. Finally, BioViva has built a bioinformatics pipeline to analyze the data generated from the biomarkers of aging in human trials, and validate the treatments that are effective for treating the aging process.

BioViva has recently partnered with a paid-for clinical trial company Integrated Health Systems (IHS). IHS connects doctors with patients who want to take part in paid-for clinical trials. During our collaboration with IHS they will utilize our adaptive clinical trial protocols to conduct gene and cell therapy trials. All patients will undergo pre- and post testing using BioViva’s comprehensive biomarkers of aging platform. Treatment efficacy, and patient well being will be assessed using our bioinformatics pipeline…

The goal of BioViva is to accelerate the development of products that will effectively, and cost-efficiently treat biological aging. Our platform is designed to provide expedited and reliable feedback to our clinical and manufacturing partners, so that they may rapidly iterate their products and services to help patients improve the quality and quantity of life.

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Researchers at MIT have developed an imaging technique that will help study exactly how electrical signals propagate through the brain, in an advance that could help us better understand Alzheimer’s, epilepsy, and other brain disorders, as well as how thoughts and feelings are formed.

Brain MRIs offer important insight into how our brains work, but they can only produce crude approximations of the areas that are activated by a given stimulus. In order to unravel the minutiae of how neurons communicate and collaborate to form thoughts and feelings, we would need imaging tools with vastly improved resolutions.

Today, far from being able to tackle the 86 billion neurons in the human brain, neuroscientists must settle for studying simple organisms like worms and fish larvae (with neuron counts in the hundreds), relying on slow and cumbersome methods like implanting electrodes into brain tissue to detect electrical signals.

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