Emerging Diagnostic Modalities & Innovation

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Researchers Predict Risk for Common Deadly Diseases from Millions of Genetic Variants

Through this "polygenic risk scoring," researchers can identify people at high risk for disease, even if they don't present other warning signs
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New RNA, DNA-Sequencing Platform Matches Thousands of Drugs to Late-Stage Cancer Patients

A comprehensive RNA and DNA sequencing platform benefits late-stage and drug-resistant multiple myeloma patients by determining which drugs would work best for them
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A Targeted Approach to Treating Glioma

With a new method, surgeons would remove a tumor, then implant microparticles that attack the remaining cancer cells
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Researchers Identify Potential Diagnostic Test for Kawasaki Disease

For the first time, researchers have determined that Kawasaki Disease can be accurately diagnosed on the basis of the pattern of host gene expression in whole blood
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Epigenetic Markers of Ovarian Cancer

John Hopkins researchers, in collaboration with Insilico Medicine, identify that silencing of the GULP1 gene expression by methylation plays an important role in ovarian carcinogenesis
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Big-Data Study Pinpoints More Than 150 Genes Associated with Atrial Fibrillation

The study also develops a genetic risk score for atrial fibrillation
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Latent TB Treatment: Shorter Is Better

Game-changing study on treatment of latent Tuberculosis shows a novel, short therapy is safer and more effective in children and adults than standard therapy
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New Cell Lines Produce NIST Monoclonal Antibody for Improved Biologic Drugs

Monoclonal antibodies are proteins manufactured in the laboratory that can target specific disease cells, viruses, and other antigens
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Data-Driven Advances in Precision Medicine Target Cardiovascular Disease

Large and diverse data sets help clinical labs tailor treatments