Results 81 to 90 of about 1,394,796 (266)

Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports

open access: yesMachine Learning and Knowledge Extraction
This study presents an integrated approach for automatically extracting and structuring information from medical reports, captured as scanned documents or photographs, through a combination of image recognition and natural language processing (NLP ...
Ivan Malashin   +5 more
doaj   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel   +15 more
wiley   +1 more source

Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean   +7 more
wiley   +1 more source

Optimization and Security in Information Retrieval, Extraction, Processing, and Presentation on a Cloud Platform

open access: yesInformation, 2019
This paper presents the processing steps needed in order to have a fully functional vertical search engine. Four actions are identified (i.e., retrieval, extraction, presentation, and delivery) and are required to crawl websites, get the product ...
Adrian Alexandrescu
doaj   +1 more source

Extracting information for biology

open access: yes, 2006
High-throughput methods like the large scale sequencing of the human genome dramatically increase our knowledge of genetics and related biological processes. As a consequence these results accelerate the pace of research and development in the field of biomedicine.
openaire   +3 more sources

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig   +7 more
wiley   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi   +7 more
wiley   +1 more source

Impact of Japan's 2024 Physician Work‐Style Reform on Pediatric Hematology–Oncology: Educational Implications in a 2‐Year Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Japan's 2024 physician work‐style reform introduced legally binding limits on physicians’ working hours, but its impact on education and workforce sustainability in pediatric hematology–oncology (PHO) remains unclear. Procedure We conducted a repeated cross‐sectional study with structured quantitative items and free‐text responses ...
Kiyohiko Kaizu   +7 more
wiley   +1 more source

Document-Level Event Argument Extraction with Sparse Representation Attention

open access: yesMathematics
Document-level Event Argument Extraction (DEAE) aims to extract structural event knowledge composed of arguments and roles beyond the sentence level. Existing methods mainly focus on designing prompts and using Abstract Meaning Representation (AMR) graph
Mengxi Zhang, Honghui Chen
doaj   +1 more source

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