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Connection

Angelo D'Alessandro to Machine Learning

This is a "connection" page, showing publications Angelo D'Alessandro has written about Machine Learning.

 
Connection Strength
 
 
 
0.230
 
  1. D'Alessandro A, Thomas T, Akpan IJ, Reisz JA, Cendali FI, Gamboni F, Nemkov T, Thangaraju K, Katneni U, Tanaka K, Kahn S, Wei AZ, Valk JE, Hudson KE, Roh D, Moriconi C, Zimring JC, Hod EA, Spitalnik SL, Buehler PW, Francis RO. Biological and Clinical Factors Contributing to the Metabolic Heterogeneity of Hospitalized Patients with and without COVID-19. Cells. 2021 09 02; 10(9).
    View in: PubMed
    Score: 0.151
  2. Isiksacan Z, D'Alessandro A, Wolf SM, McKenna DH, Tessier SN, Kucukal E, Gokaltun AA, William N, Sandlin RD, Bischof J, Mohandas N, Busch MP, Elbuken C, Gurkan UA, Toner M, Acker JP, Yarmush ML, Usta OB. Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proc Natl Acad Sci U S A. 2023 08 08; 120(32):e2115616120.
    View in: PubMed
    Score: 0.043
  3. Nemkov T, Stefanoni D, Bordbar A, Issaian A, Palsson BO, Dumont LJ, Hay A, Song A, Xia Y, Redzic JS, Eisenmesser EZ, Zimring JC, Kleinman S, Hansen KC, Busch MP, D'Alessandro A. Blood donor exposome and impact of common drugs on red blood cell metabolism. JCI Insight. 2021 02 08; 6(3).
    View in: PubMed
    Score: 0.036
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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