Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Univ. of Toronto Researcher: “I did not realize quite how bad [the lack of reproducibility and poor quality in research papers] was.”

Many areas of science have been facing a reproducibility crisis over the past two years, and machine learning and AI are no exception. That has been highlighted by recent efforts to identify papers with results that are reproducible and those that are not.

Two new analyses put the spotlight on machine learning in health research, where lack of reproducibility and poor quality is especially alarming. “If a doctor is using machine learning or an artificial intelligence tool to aid in patient care, and that tool does not perform up to the standards reported during the research process, then that could risk harm to the patient, and it could generally lower the quality of care,” says Marzyeh Ghassemi of the University of Toronto.

In a paper describing her team’s analysis of 511 other papers, Ghassemi’s team reported that machine learning papers in healthcare were reproducible far less often than in other machine learning subfields. The group’s findings were published this week in the journal Science Translational Medicine. And in a systematic review published in Nature Machine Intelligence, 85 percent of studies using machine learning to detect COVID-19 in chest scans failed a reproducibility and quality check, and none of the models was near ready for use in clinics, the authors say.

Continue reading “Machine Learning Faces a Reckoning in Health Research” | >

Didn’t watch the video.

Prof David R. Liu, Professor at Harvard University, the Broad Institute, and HHMI was interviewed by the Sheeky Science Show. In the interview, they discussed how to make precise genome editing safe & efficient using the latest CRISPR tech advances in base editing and prime editing and taking it to the clinic (e.g Beam Therapeutics). They talked about the next frontier, epigenome editing.

Read more | >

**Five years ago, scientists created a single-celled synthetic organism that, with only 473 genes, was the simplest living cell ever known.** However, this bacteria-like organism behaved strangely when growing and dividing, producing cells with wildly different shapes and sizes.

Now, scientists have identified seven genes that can be added to tame the cells’ unruly nature, causing them to neatly divide into uniform orbs. This achievement, a collaboration between the J. Craig Venter Institute (JCVI), the National Institute of Standards and Technology (NIST) and the Massachusetts Institute of Technology (MIT) Center for Bits and Atoms, was described in the journal Cell.

Identifying these genes is an important step toward engineering synthetic cells that do useful things. Such cells could act as small factories that produce drugs, foods and fuels; detect disease and produce drugs to treat it while living inside the body; and function as tiny computers.

But to design and build a cell that does exactly what you want it to do, it helps to have a list of essential parts and know how they fit together.

“We want to understand the fundamental design rules of life,” said Elizabeth Strychalski, a co-author on the study and leader of NIST’s Cellular Engineering Group. “If this cell can help us to discover and understand those rules, then we’re off to the races.”

Continue reading “Scientists create simple synthetic cell that grows and divides normally” | >

The recent eruptions in Iceland, vividly captured through dramatic drone footage, have drawn public attention to the immense power of volcanoes. Beautiful though they are, and mesmerizing to watch, they are also deadly.

History has recorded eruptions so spectacular they’ve never been forgotten. These include Krakatoa in 1883, whose explosion was heard around the world and Mount Tambora, which resulted in famines across the northern hemisphere.

But perhaps the most famous of all is the eruption of Vesuvius in Italy, in AD79, which sealed the Roman towns of Pompeii and Herculaneum beneath layers of ash.

Read more | >

Summary: Interaction between auditory areas of the brain and the reward system drive pleasure when we listen to music.

Source: SfN

Communication between the brain’s auditory and reward circuits is the reason why humans find music rewarding, according to new research published in Journal of Neuroscience.

Read more | >

CLEVELAND, Ohio — The Cleveland Clinic and IBM have entered a 10-year partnership that will install a quantum computer — which can handle large amounts of data at lightning speeds — at the Clinic next year to speed up medical innovations.

The Discovery Accelerator, a joint Clinic-IBM center, will feature artificial intelligence, hybrid cloud data storage and quantum computing technologies. A hybrid cloud is a data storage technology that allows for faster storage and analysis of large amounts of data.

The partnership will allow Clinic researchers to use the advanced tech in its new Global Center for Pathogen Research and Human Health for research into genomics, population health, clinical applications, and chemical and drug discovery.

Read more | >