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Ancient viral infections that occurred hundreds of thousands of years ago, so called “fossil viruses,” now found in thousands of human DNA sequences have been linked with major psychiatric disorders according to an international research collaboration led by investigators at King’s College London (KCL).

Precision Oncology Today

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Sequencing Spatially-Located Single Cells

New combinations of technology help scientists understand biology and disease more than ever, but much more lies ahead.
AI Brain Concept

Beginning a New Era of Precision Alzheimer’s Therapeutics

Alzheimer’s is a disease associated with aging and impacts almost seven million people in the U.S. over the age of 65, with women and Black or Hispanic populations disproportionately affected by the condition. Finding an effective treatment for Alzheimer’s disease has proved to be a long and difficult quest.
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5 Startups With Proteomics Potential Attracting Investor Cash

Investor appetite is growing for startups that can make proteomics faster, cheaper, and more informative for use in precision medicine. Here are five proteomics...

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DNA Molecular Structure

Ambry, PacBio, and GREGoR Join for Major Rare Disease Sequencing Project

Ambry Genetics and PacBio will work with the University of California, Irvine (UCI) and the GREGoR Consortium to use long-read technology to sequence and analyze up to 7,000 human whole genomes over three years and seek new insights into rare disease etiology.
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COVID Advances Could Transform Personalized Medicine

Innovations in big data and new technology brought on by the COVID pandemic could revolutionize personalized medicine, scientists maintain.
Photo of two hands held palm up with the left one holding a positive COVID-19 antigen test and the other holding a blood glucose monitor with a test strip inserted showing a reading of 126 to indicate the diabetes risks linked to SARS-CoV-2 infection.

New Biomarkers Discovered for Early Prediction of Kidney Failure in Type 1 Diabetes Patients

Using multiomics analysis, scientists have identified epigenetic biomarkers, predicting the risk of kidney failure in diabetes patients.

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