Machine learning-based identification of an oxidative phosphorylation signature for prognosis, immune infiltration, and drug sensitivity in ovarian cancer. [PDF]
Kang L +8 more
europepmc +1 more source
Integrating ex vivo drug sensitivity and genetic mutation analysis improves prediction of chemotherapy response in acute myeloid leukemia. [PDF]
Li W +13 more
europepmc +1 more source
Patient-derived organoids from metastatic colorectal cancer mirror tumor heterogeneity and predict patient survival and drug sensitivity. [PDF]
Kryeziu K +16 more
europepmc +1 more source
In silico drug sensitivity predicts subgroup-specific therapeutics in medulloblastoma patients. [PDF]
Jermakowicz AM +7 more
europepmc +1 more source
Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer. [PDF]
Wu N, Fan Z.
europepmc +1 more source
Ex vivo drug sensitivity testing predicts treatment outcomes in advanced ovarian cancer. [PDF]
Labrosse KB +18 more
europepmc +1 more source
Drug sensitivity testing of patient-derived bone sarcomas identifies selective kinase inhibitors for patients with refractory disease. [PDF]
Linder-Stragliotto C +4 more
europepmc +1 more source
Personalized treatment of HER2-positive lung adenocarcinoma using Human Organoid Drug Sensitivity Test. [PDF]
Luan T +21 more
europepmc +1 more source

