- Predicting the efficacy of immune checkpoint inhibitors monotherapy i…
Number of the records: 1  

Predicting the efficacy of immune checkpoint inhibitors monotherapy in advanced non-small cell lung cancer: a machine learning method based on multidimensional data

  1. SYS0190108
    LBL
      
    00000naa--2200000-a-4500
    005
      
    20250607180328.5
    008
      
    230724s2023----xo-----e------------eng--
    040
      
    $a BA006 $b slo
    041
    0-
    $a eng $b eng
    044
      
    $a xo $c SK
    245
    10
    $a Predicting the efficacy of immune checkpoint inhibitors monotherapy in advanced non-small cell lung cancer: a machine learning method based on multidimensional data / $c Na Liu ... [et al.]
    300
      
    $b ilustr., aj fareb., grafy, obr., tab.
    504
      
    $a Bibliogr. odkazy
    504
      
    $a Res. angl.
    650
    12
    $7 sllk_us_auth*d002289 $a karcinóm pľúc, nemalobunkový $2 mesh
    650
    22
    $7 sllk_us_auth*d000082082 $a inhibítory imunitných kontrolných bodov $2 mesh
    650
    22
    $7 sllk_us_auth*d008962 $a modely teoretické $2 mesh
    650
    22
    $7 sllk_us_auth*d011379 $a prognóza $2 mesh
    653
    2-
    $a vyhodnotenie súboru pacientov retrospektívne
    700
    1-
    $7 sllk_us_auth*0058661 $a Liu, Na $4 aut
    773
    0-
    $7 nnas $w sllk_us_cat*0189486 $t Neoplasma $f Cancer Research Institute of the Slovak Academy of Sciences $x 0028-2685 $d Bratislava : AEPress, 2023 $g Vol. 70, no. 2 (2023), s. 300-310
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.