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Category: biotech/medical – Page 2,379

A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

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Precision oncology relies on accurate discovery and interpretation of genomic variants, enabling individualized diagnosis, prognosis and therapy selection. We found that six prominent somatic cancer variant knowledgebases were highly disparate in content, structure and supporting primary literature, impeding consensus when evaluating variants and their relevance in a clinical setting. We developed a framework for harmonizing variant interpretations to produce a meta-knowledgebase of 12,856 aggregate interpretations. We demonstrated large gains in overlap between resources across variants, diseases and drugs as a result of this harmonization. We subsequently demonstrated improved matching between a patient cohort and harmonized interpretations of potential clinical significance, observing an increase from an average of 33% per individual knowledgebase to 57% in aggregate. Our analyses illuminate the need for open, interoperable sharing of variant interpretation data. We also provide a freely available web interface (search.cancervariants.org) for exploring the harmonized interpretations from these six knowledgebases.

Coronavirus: tensions rise over scientists at heart of lockdown policy

The Royal Society is to create a network of disease modelling groups amid academic concern about the nation’s reliance on a single group of epidemiologists at Imperial College London whose predictions have dominated government policy, including the current lockdown.

It is to bring in modelling experts from fields as diverse as banking, astrophysics and the Met Office to build new mathematical representations of how the coronavirus epidemic is likely to spread across the UK — and how the lockdown can be ended.

The first public signs of academic tensions over Imperial’s domination of the debate came when Sunetra Gupta, professor of theoretical epidemiology at Oxford University, published a paper suggesting that some of Imperial’s key assumptions could be wrong.

Coronavirus leaves US laptops and home devices exposed to cyberattacks

As the coronaviruspandemic sweeps across the United States, another invisible enemy is threatening America’s data security.

From stealing data to disseminating misinformation, hackers are taking advantage of the US at an especially vulnerable time during the war against the deadly outbreak.

As millions of Americans have been ordered to work from home to contain the spread of the virus, data is now being transmitted outside secure business networks, making it a treasure trove for hackers.

Backstory on Covid 19 patient treated with Exosomes two days ago in Jersey

If new cells, with new DNA, RNA polymerases and nucleotides can be generated to replace the cells affected by the virus, the enzyme of the virus can be eliminated, and the virus will be unable to make copies of its RNA. This can be done by stimulating the stem cells to become cells with new DNA, RNA, proteins, and nucleotides. Stem Cell Neurotherapy sends therapeutic messages to the DNA inside the stem cells’ nucleus. DNA sends the information to the RNA molecules called messenger RNA. The transfer RNA synthesizes proteins to carry out the instructions given by messenger RNA templates for the stem cells to become new cells and tissues to replace those infected by the coronavirus. We have produced and developed Stem Cell Neurotherapy for COVID-19 patients. The therapy is designed to help the patients generate new cells in their lungs, liver, kidney, and other organs to replace those cells that have been infected by COVID-19. These new cells will eliminate the fever, coughing, headaches, breathing problems, and other symptoms related to COVID-19. More details are at: Stem Cell Neurotherapy on Facebook…

How did a U.S. patient in a New Jersey hospital become the first presumed Covid 19 respiratory failure patient in the world to receive stem cell exosomes? Get the inside scoop!

Springing an evolutionary trap on cancer

Cancer cells have the extraordinary evolutionary potential to adapt and acquire resistance to most conventional and targeted therapies. In a new study, Lin et al., develop a systematic approach to identify combination therapies that produce cancer traps, in which evading the first drug makes the cancer vulnerable to the second.

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