Lifeboat Foundation

Using artificial intelligence and machine learning techniques, researchers at Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in China, Germany and Texas, have developed a new computational tool to screen patients with common but blinding retinal diseases, potentially speeding diagnoses and treatment.

Using a state-of-the-art type of electron microscopy, an MIT-led team has discovered the structure of an enzyme that is crucial for maintaining an adequate supply of DNA building blocks in human cells.

Courtesy of the researchers.

http://www.blogtalkradio.com/cafeesotericaradio/2018/03/02/c…generation

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.

Continue reading “Using big data analysis to significantly boost cancer treatment effectiveness” »

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.

Monthly summary of the cancer treatment advances, longevity science and other medical discoveries reported during February 2018.

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.

Biohacking future of avoiding doctors?

This man claims experimental gene therapy cured his lactose intolerance.

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.

Continue reading “The predictive powers of AI could make human forecasters obsolete” »