Results 101 to 110 of about 2,400,614 (354)

Rewriting the dendritic cell code in cancer—from subset identity to immunotherapeutic design

open access: yesFEBS Letters, EarlyView.
Dendritic cells (DCs) play central roles in cancer immunity but are often subverted by the tumor microenvironment. This review explores the diversity of DC subsets, their functional plasticity, and emerging therapeutic strategies to reprogram DCs for enhanced antitumor responses, including vaccines, in vivo targeting, and DC‐based immunotherapies ...
Estevão Carlos Silva Barcelos   +3 more
wiley   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Probing the dusty stellar populations of the Local Volume Galaxies with JWST/MIRI

open access: yes, 2017
The Mid-Infrared Instrument (MIRI) for the {\em James Webb Space Telescope} (JWST) will revolutionize our understanding of infrared stellar populations in the Local Volume.
Glasse, Alistair   +3 more
core   +1 more source

Classification of Astronomical Spectra Based on Multiscale Partial Convolution

open access: yesThe Astronomical Journal
The automated and efficient classification of astronomical spectra is an important research issue in the era of large sky surveys. Most current studies on automatic spectral classification primarily focus on specific data sets and demonstrate outstanding
Jingjing Wu   +5 more
doaj   +1 more source

Mycobacterium tuberculosis sulfurtransferase SseA is activated by its neighboring gene product Rv3284

open access: yesFEBS Letters, EarlyView.
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli   +10 more
wiley   +1 more source

A Spectroscopic Survey of Metal-poor OB Stars in Local Dwarf Galaxy NGC 3109

open access: yesThe Astrophysical Journal
As JWST uncovers increasingly strong evidence that metal-poor, massive stars in early galaxies dominated reionization, observational constraints on the properties of such stars are more relevant than ever before.
Abby Mintz   +5 more
doaj   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

open access: yesMolecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin   +14 more
wiley   +1 more source

Mid-Infrared Galaxy Morphology Along the Hubble Sequence

open access: yes, 2004
The mid-infrared emission from 18 nearby galaxies imaged with the IRAC instrument on Spitzer Space Telescope samples the spatial distributions of the reddening-free stellar photospheric emission and the warm dust in the ISM.
Block D. L.   +7 more
core   +2 more sources

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

open access: yesMolecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane   +16 more
wiley   +1 more source

Classification of Stellar Spectral Data Using SVM [PDF]

open access: yes, 2004
In this paper a new technique is developed on stellar spectral classification. Because stellar spectral data sets are usually extremely noisy, wavelet de-noising method is proposed to reduce noise first. Then the support vector machines (SVM) is used for the classification.
Ping Guo, Fei Xing
openaire   +2 more sources

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