Patient-derived xenograft models in cancer therapy: technologies and applications
Patient-derived xenograft (PDX) models, in which tumor tissues from patients are implanted
into immunocompromised or humanized mice, have shown superiority in recapitulating the …
into immunocompromised or humanized mice, have shown superiority in recapitulating the …
[HTML][HTML] Machine learning in the prediction of cancer therapy
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
Utilizing machine learning to expedite the fabrication and biological application of carbon dots
As a novel type of nanomaterial, carbon dots (CDs) are widely used in biology owing to their
optical property, biocompatibility, and intrinsic theranostic properties. Taking advantage of …
optical property, biocompatibility, and intrinsic theranostic properties. Taking advantage of …
The roles of patient‐derived xenograft models and artificial intelligence toward precision medicine
Patient‐derived xenografts (PDX) involve transplanting patient cells or tissues into
immunodeficient mice, offering superior disease models compared with cell line xenografts …
immunodeficient mice, offering superior disease models compared with cell line xenografts …
Precision oncology: a review to assess interpretability in several explainable methods
M Gimeno, K Sada del Real… - Briefings in …, 2023 - academic.oup.com
Great efforts have been made to develop precision medicine-based treatments using
machine learning. In this field, where the goal is to provide the optimal treatment for each …
machine learning. In this field, where the goal is to provide the optimal treatment for each …
Patient-derived xenograft models of neuroendocrine prostate cancer
In recent years, patient-derived xenografts (PDXs) have attracted much attention as clinically
relevant models for basic and translational cancer research. PDXs retain the principal …
relevant models for basic and translational cancer research. PDXs retain the principal …
Recent advancements in subcellular proteomics: growing impact of organellar protein niches on the understanding of cell biology
V Bhushan, A Nita-Lazar - Journal of Proteome Research, 2024 - ACS Publications
The mammalian cell is a complex entity, with membrane-bound and membrane-less
organelles playing vital roles in regulating cellular homeostasis. Organellar protein niches …
organelles playing vital roles in regulating cellular homeostasis. Organellar protein niches …
Reversion of pathogenic BRCA1 L1780P mutation confers resistance to PARP and ATM inhibitor in breast cancer
This study investigates the molecular characteristics and therapeutic implications of the
BRCA1 L1780P mutation, a rare variant prevalent among Korean hereditary breast cancer …
BRCA1 L1780P mutation, a rare variant prevalent among Korean hereditary breast cancer …
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images
Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies. A
primary challenge in modeling drug response prediction (DRP) with PDXs and neural …
primary challenge in modeling drug response prediction (DRP) with PDXs and neural …
Bird eye view of protein subcellular localization prediction
Proteins are made up of long chain of amino acids that perform a variety of functions in
different organisms. The activity of the proteins is determined by the nucleotide sequence of …
different organisms. The activity of the proteins is determined by the nucleotide sequence of …