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Machine learning tool identifies rare, undiag

<p>Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.</p>
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United States , San Francisco , Vanderbilt University , San Diego , Sergey Knyazev , Ruth Johnson , Lisaa Bastarache , Bogdan Pasaniuc , Manish Butte , Brianl Hill , Tommer Schwarz , Rachel Mester , Lisaa Kohn , Valeriea Arboleda , Alexisv Stephens , Leroy Bondhus , Malikak Freund , Noah Zaitlen , University Of California Data Warehouse , David Geffen School Of Medicine , Vanderbilt Medical Center , Department Of Biomedical Informatics At Vanderbilt University , Method Of Research , National Institutes Of Health , University Of California , Pasaniuc Lab ,

Machine learning tool identifies rare, undiagnosed immune disorders through patients' electronic health records

Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co ....

United States , San Francisco , Vanderbilt University , San Diego , Lisaa Kohn , Valeriea Arboleda , Bogdan Pasaniuc , Kevin Mcclanahan , Brianl Hill , Lisaa Bastarache , Rachel Mester , Tommer Schwarz , Manish Butte , Leroy Bondhus , Alexisv Stephens , Ruth Johnson , Sergey Knyazev , Noah Zaitlen , Malikak Freund , Harvard Medical School , University Of California Data Warehouse , University Of California , Vanderbilt Medical Center , Pasaniuc Lab , David Geffen School Of Medicine , National Institutes Of Health ,

Machine learning tool identifies rare, undiagnosed immune disorders through patients' electronic health records

Machine learning tool identifies rare, undiagnosed immune disorders through patients' electronic health records
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United States , San Francisco , Vanderbilt University , San Diego , Brianl Hill , Bogdan Pasaniuc , Leroy Bondhus , Rachel Mester , Tommer Schwarz , Valeriea Arboleda , Ruth Johnson , Malikak Freund , Manish Butte , Noah Zaitlen , Sergey Knyazev , Lisaa Bastarache , Alexisv Stephens , Lisaa Kohn , University Of California , University Of California Data Warehouse , Harvard Medical School , Vanderbilt Medical Center , David Geffen School Of Medicine , Department Of Biomedical Informatics At Vanderbilt University , Pasaniuc Lab , Science Translational ,

Machine learning tool identifies rare, undiagnosed immune disorders through patients' electronic health records

Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing co ....

United States , San Francisco , Vanderbilt University , San Diego , Brianl Hill , Lisaa Bastarache , Rachel Mester , Tommer Schwarz , Lisaa Kohn , Valeriea Arboleda , Bogdan Pasaniuc , Kevin Mcclanahan , Sergey Knyazev , Noah Zaitlen , Malikak Freund , Manish Butte , Alexisv Stephens , Leroy Bondhus , Ruth Johnson , Department Of Biomedical Informatics At Vanderbilt University , David Geffen School Of Medicine , National Institutes Of Health , Pasaniuc Lab , Vanderbilt Medical Center , University Of California , University Of California Data Warehouse ,

Study finds patterns in health disparity across different genetic ancestry groups

UCLA researchers used genetic data from people in Los Angeles to identify different groups’ disease risk and better understand health disparities. In the study published in July, the researchers used data collected as part of the UCLA ATLAS Community Health Initiative – including medical info from patients across LA – to see whether they could understand why certain communities might be more likely to receive certain diagnoses or seek hospital care, said Noah Zaitlen, the paper’s corresponding author. ....

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