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Hot Topics of the Day|PHGKB
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01/13/2020

Hot Topics of the Day are picked by experts to capture the latest information and publications on public health genomics and precision health for various diseases and health topics. Sources include published scientific literature, reviews, blogs and popular press articles.

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Archived Hot Topics of the Day By Date

Development of Statistical, Population Genetics and Computational Methods Related to Polygenic Prediction of Health and Disease in Diverse Populations
Notice of Special Interest, January 13, 2020 Brand

Polygenic risk scores are rapidly becoming linked to clinical implications. This announcement solicits investigator-initiated applications to develop statistical, computational, and population genetics approaches to modeling polygenic risk in human populations, especially in genetically diverse populations.

Cancer in sub-Saharan Africa.
Rebbeck Timothy R et al. Science (New York, N.Y.) 2020 01 (6473) 27-28

The World Economic Forum has initiated a “Leapfrogging with Precision Medicine” initiative that will advance the use of genetics and genomics in cancer prevention and treatment. These and many other institutions and activities have the potential to develop the knowledge and sustainable resources needed to address the cancer burden in Sub Saharan Africa.

Mayo genomic database to use sequencing for 100K participants
G Slabodkin, Health Data Management, January 10, 2020

The Mayo Clinic will build a library of genomic sequencing data on 100,000 volunteers, who will be initially screened for three hereditary conditions.Participants in the first part of the study—called Tapestry—will receive screening results for familial hypercholesterolemia, hereditary breast and ovarian cancer (BRCA1 and BRCA2), and Lynch syndrome.

Op-Ed: Using artificial intelligence to diagnose cancer could mean unnecessary treatments
LA Times, January 12, 2020

Even the best artificial intelligence system can’t fix the uncertainties surrounding early cancer diagnosis. the process is wholly dependent on starting with data that are correctly labeled. Unfortunately, this pathologic standard is problematic. Over the last 20 years there has been a growing recognition that screening mammography has led to substantial overdiagnosis

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG
M Porumb et al, Scientific Reports, January 13, 2020

The current study used personalised medicine approach and Artificial Intelligence (AI) to automatically detect nocturnal hypoglycemia using a few heartbeats of raw ECG signal recorded with non-invasive, wearable devices, in healthy individuals, monitored 24?hours for 14 consecutive days.


Disclaimer: Articles listed in Hot Topics of the Day are selected by Public Health Genomics Branch to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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