Detalhe da pesquisa
1.
Invariant NKT cells contribute to chronic lymphocytic leukemia surveillance and prognosis.
Blood
; 129(26): 3440-3451, 2017 06 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-28465341
2.
Profiling the Location and Extent of Musicians' Pain Using Digital Pain Drawings.
Pain Pract
; 18(1): 53-66, 2018 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28466572
3.
Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort.
Psychiatry Res
; 332: 115687, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38157709
4.
A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney disease.
iScience
; 27(3): 109271, 2024 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38487013
5.
Invariant NKT cell reconstitution in pediatric leukemia patients given HLA-haploidentical stem cell transplantation defines distinct CD4+ and CD4- subset dynamics and correlates with remission state.
J Immunol
; 186(7): 4490-9, 2011 Apr 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-21357532
6.
Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito Aedes albopictus in Switzerland.
Int J Environ Res Public Health
; 19(6)2022 03 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35328909
7.
TCR-engineered iNKT cells induce robust antitumor response by dual targeting cancer and suppressive myeloid cells.
Sci Immunol
; 7(74): eabn6563, 2022 08 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35984893
8.
Artificial Intelligence in Thyroid Field-A Comprehensive Review.
Cancers (Basel)
; 13(19)2021 Sep 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-34638226
9.
The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach.
J Pers Med
; 11(12)2021 Dec 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-34945849
10.
Computational study of the fluid-dynamics in carotids before and after endarterectomy.
J Biomech
; 49(1): 26-38, 2016 Jan 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-26617369