 Here we show that deep learning-based weakly supervised and multi-task computational pathology on H E slides can be used to determine the metastatic status and site of origin for tumors of unknown primary .
<meaning-changed>  Here we show that deep learning-based weakly supervised and multi-task computational pathology on H E slides can be used to determine the metastatic status and site of origin for tumors of unknown primary .
 Here we show that deep learning-based weakly supervised and multi-task computational pathology on H computational pathology algorithm-TOAD-that can provide a differential diagnosis for CUP using routinely acquired histology slides .