Detalhe da pesquisa
1.
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images.
Breast Cancer Res
; 26(1): 90, 2024 Jun 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38831336
2.
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer.
Breast Cancer Res
; 26(1): 17, 2024 01 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-38287342
3.
Clinical evaluation of deep learning-based risk profiling in breast cancer histopathology and comparison to an established multigene assay.
Breast Cancer Res Treat
; 2024 Apr 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-38592541
4.
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
Bioinformatics
; 38(13): 3462-3469, 2022 06 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-35595235
5.
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.
Lancet Oncol
; 21(2): 222-232, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31926806
6.
Isoform-level gene expression patterns in single-cell RNA-sequencing data.
Bioinformatics
; 34(14): 2392-2400, 2018 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29490015
7.
Digital image analysis of Ki67 in hot spots is superior to both manual Ki67 and mitotic counts in breast cancer.
Histopathology
; 72(6): 974-989, 2018 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-29220095
8.
Beta-Poisson model for single-cell RNA-seq data analyses.
Bioinformatics
; 32(14): 2128-35, 2016 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-27153638
9.
Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling.
BMC Cancer
; 17(1): 802, 2017 Nov 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-29187174
10.
Determining breast cancer histological grade from RNA-sequencing data.
Breast Cancer Res
; 18(1): 48, 2016 05 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-27165105
11.
Digital image analysis outperforms manual biomarker assessment in breast cancer.
Mod Pathol
; 29(4): 318-29, 2016 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-26916072
12.
Integrative transcriptomic and metabonomic molecular profiling of colonic mucosal biopsies indicates a unique molecular phenotype for ulcerative colitis.
J Proteome Res
; 14(1): 479-90, 2015 Jan 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-25283053
13.
Extent, causes, and consequences of small RNA expression variation in human adipose tissue.
PLoS Genet
; 8(5): e1002704, 2012.
Artigo
em Inglês
| MEDLINE | ID: mdl-22589741
14.
A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.
PLoS Genet
; 7(9): e1002270, 2011 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-21931564
15.
Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information.
Eur J Cancer
; 191: 112953, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37494846
16.
Prediction model for drug response of acute myeloid leukemia patients.
NPJ Precis Oncol
; 7(1): 32, 2023 Mar 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-36964195
17.
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics.
Sci Data
; 10(1): 562, 2023 08 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-37620357
18.
Systems responses of rats to mequindox revealed by metabolic and transcriptomic profiling.
J Proteome Res
; 11(9): 4712-21, 2012 Sep 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-22845897
19.
Human metabolic profiles are stably controlled by genetic and environmental variation.
Mol Syst Biol
; 7: 525, 2011 Aug 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-21878913
20.
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies.
iScience
; 25(7): 104663, 2022 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35832894