Results 41 to 50 of about 3,153,687 (368)

Biochemical analysis of human breast tissues using FT-Raman spectroscopy [PDF]

open access: yes, 2006
In this work we employ the Fourier Transform Raman Spectroscopy to study normal and tumoral human breast tissues, including several subtypes of cancers. We analyzed 194 Raman spectra from breast tissues that were separated into 9 groups according to their corresponding histopathological diagnosis.
arxiv   +1 more source

Sorafenib in advanced clear-cell renal-cell carcinoma.

open access: yesNew England Journal of Medicine, 2007
BACKGROUND We conducted a phase 3, randomized, double-blind, placebo-controlled trial of sorafenib, a multikinase inhibitor of tumor-cell proliferation and angiogenesis, in patients with advanced clear-cell renal-cell carcinoma.
B. Escudier   +18 more
semanticscholar   +1 more source

The immunological interface: dendritic cells as key regulators in metabolic dysfunction‐associated steatotic liver disease

open access: yesFEBS Letters, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi   +3 more
wiley   +1 more source

Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data [PDF]

open access: yesarXiv, 2023
Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predicting survival probabilities in patients with renal cell carcinoma by integrating CT imaging and clinical data and addressing the limitations observed in prior studies. The aim
arxiv  

Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs [PDF]

open access: yesProceedings of the Future Technologies Conference (FTC) 2020, vol. 3, pp.113-120, 2019
Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers. The detection of IDC is a necessary preprocessing step in determining the aggressiveness of the cancer, determining treatment protocols, and predicting patient outcomes, and is usually performed manually by an expert pathologist.
arxiv   +1 more source

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR)

open access: yesBMC Cancer
Objective To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR.
Yifan Li, JinFeng Ma, Wenhua Cheng
doaj   +1 more source

Stratification of Candidates for Induction Chemotherapy in Stage III-IV Nasopharyngeal Carcinoma: A Large Cohort Study Based on a Comprehensive Prognostic Model

open access: yesFrontiers in Oncology, 2020
Objective: To establish a prognostic index (PI) for patients with stage III-IV nasopharyngeal carcinoma (NPC) patients to personalize recommendations for induction chemotherapy (IC) before intensity-modulated radiotherapy (IMRT).Patients and Methods ...
Xue-Song Sun   +14 more
doaj   +1 more source

Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma.

open access: yesNew England Journal of Medicine, 1991
BACKGROUND Experimental evidence suggests that the growth of a tumor beyond a certain size requires angiogenesis, which may also permit metastasis.
N. Weidner   +3 more
semanticscholar   +1 more source

Identification of novel small molecule inhibitors of ETS transcription factors

open access: yesFEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla   +9 more
wiley   +1 more source

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